Etisk hackare - Lediga jobb

Vill du vara med och utveckla nästa generations system för störning av motståndarens radiokommunikation? Vill du arbeta med avancerad tillämpad forskning och utveckling? Då kan FOI vara din nya arbetsplats!

Telekrigsområdet hos FOI i Linköping befinner sig i en mycket expansiv fas och nu söker vi dig som vill bidra inom området för störning av radiokommunikation. Du får en viktig roll i en verksamhet där vi varje dag bidrar till att stärka Sveriges försvar och säkerhet.

Vi är en arbetsplats med en stor gemenskap där du som är nyfiken på ny teknik och har god samarbetsförmåga kommer trivas.

Om tjänsten

Du kommer att arbeta i teknikens framkant med att designa och implementera komplexa system för att realisera våra forskningsresultat. Ditt bidrag görs huvudsakligen i VHDL och C som körs på FPGA- och ARM-kretsar med fokus på att implementera experimentella algoritmer och analysfunktioner i våra experiment- och demonstratorsystem. Prototyperna har potential att bli framtida försvarssystem. Det innebär att vi inte bara bygger den senaste tekniken, utan banar väg för framtidens innovationer.

Då vår enhet täcker ett brett teknikomfång finns stora möjligheter till omväxlande arbetsuppgifter, inklusive nära kontakt med intresserade mottagare inom Försvarsmakten. Du får följa arbetet från idéstadie till färdigt system, samtidigt som du får möjlighet att utvecklas inom ditt specialistområde.

Vi arbetar i projektform där din insats blir en stor del av helheten och det på riktigt finns möjlighet att påverka resultaten. Eftersom vi testar våra system i realistisk miljö med fältmätningar finns det möjlighet att arbeta också utanför den vardagliga kontors- och labbmiljön.

Om enheten

Du kommer att ingå i enheten Störning av radiokommunikation som tillhör avdelningen Telekrig. Tillsammans med kollegor inom verksamhetsområdet Radio arbetar vi med Försvarsmaktens behov avseende telekrigs- och robusthetsaspekter för tillämpningar inom radiodomänen.

Enhetens uppdrag syftar till att utveckla störmetoder för att degradera en motståndares ledningsförmåga. Vi arbetar med hela kedjan från avancerade algoritmer till hårdvaruprototyper, som ofta testas i verklig miljö. Vi finns nära våra uppdragsgivare, men har även goda kontakter i den akademiska världen och försvarsindustrin.

Har du den kompetensprofil vi behöver?

Krav

Vi söker dig som har:

• Civilingenjörsexamen med inriktning mot firmwareutveckling, system-on-chip eller motsvarande.
• Minst 2 års tidigare arbetslivserfarenhet inom firmwareutveckling.
• Goda kunskaper i svenska och engelska i tal och skrift.

Som anställd på FOI får du ett arbete med en stor frihet, möjlighet att påverka och utrymme för egna initiativ. Det är värdefulla egenskaper att vara initiativtagande, att ha en god analytisk förmåga samt att vara självgående. Då arbetet sker i projektform behöver du ha en god samarbetsförmåga, trivas med att utveckla lösningar tillsammans med andra samt vara mål- och resultatinriktad.

Meriterande

Det är meriterande om du har:

• Kompetens inom signalbehandling, radiokommunikation, telekrigsverksamhet eller elektronik.
• Erfarenhet från Försvarsmakten, försvarsindustri eller andra försvarsrelaterade myndigheter.

Vad erbjuder vi dig?

Totalförsvarets forskningsinstitut (FOI) är en statlig myndighet som bedriver världsledande forskning inom försvar och säkerhet till stöd för Sveriges militära och civila försvar. Vi erbjuder en unik arbetsplats där du får möjlighet att arbeta med det som är viktigt för totalförsvaret och hela samhället. Forskningen tillämpas både inom försvarsmyndigheter och hos civila aktörer och spelar en avgörande roll i att bygga en relevant och effektiv försvarsförmåga.

Vi arbetar medvetet för en god arbetsmiljö med en bra balans mellan arbete och privatliv. Utöver detta erbjuder vi en rad förmåner. Läs mer om hur det är att jobba hos oss: https://www.foi.se/jobba-hos-oss.html

Tjänsten är en tillsvidareanställning som kan komma att inledas med sex månaders provanställning.

Vill du vara med och söka svaren för en säkrare värld?

Välkommen med din ansökan i form av CV och personligt brev via ansökningsknappen senast den 28 september!

För mer information om tjänsten är du välkommen att kontakta enhetschef Tomas Busk. Fackliga företrädare är Jonny Genzel (Saco-S) och Pernilla Bergfeldt (OFR/S – ST) Samtliga nås på 08-555 030 00.

Då anställningen är placerad i säkerhetsklass krävs svenskt medborgarskap. Säkerhetsprövning med registerkontroll kommer att genomföras före anställning enligt säkerhetsskyddslagen (2018:585). Inför säkerhetsprövning efterfrågas vidimerade kopior på de utbildningar och tjänstgöringsintyg som är relevanta för tjänsten.

FOI är en myndighet varmed inlämnade ansökningshandlingar blir allmän handling som på begäran kan lämnas ut till utomstående enligt offentlighets- och sekretesslagen.

Erbjudanden från rekryteringsföretag undanbedes.

At Telavox, we’re looking for an Engineering Manager who is comfortable leading inside a fast-moving organisation, someone who can hold a team steady while priorities shift and knows how to introduce just enough structure to make a team faster, not slower. You’ll combine leading people with strong engineering judgement, and you’ll care as much about how reliably your team ships as about how quickly they move.

If you enjoy working with people, leading through change, and empowering teams to do their best work, this is your opportunity to make a real difference.

As an Engineering Manager at Telavox, you’ll lead our Telephony Team, responsible for developing people, strengthening team performance, and aligning engineering efforts with business and product goals.

The Telephony Team works on core telephony capabilities and collaborates closely with other engineering and product teams. You’ll help shape effective processes and ways of working, manage dependencies, and ensure clear technical contracts and interfaces between teams.

You’ll work closely with engineers, Product, and other stakeholders, contributing to technical discussions and architectural decisions while ensuring the team delivers scalable and sustainable solutions.

Your day-to-day work will include:

• Leading, coaching, and developing the Telephony Team, supporting growth, performance, and well-being

• Establishing effective processes and ways of working, adding structure where needed and removing it where it isn’t

• Creating clarity when priorities shift and translating business needs into clear plans

• Partnering with Product on priorities, roadmaps, and outcomes; delivering a highly scalable and competitive telephony platform

• Collaborating with other Engineering Managers and teams on dependencies, technical contracts, and interfaces

• Contributing to technical and architectural decisions and ensuring long-term scalability, availability, and maintainability

• Contributing to hiring and building a strong, inclusive, and diverse engineering team in a collaborative and high-performing environment

• Helping shape the broader engineering strategy, technical direction, and culture across engineering teams

You’re a confident engineering leader who is comfortable with ambiguity, able to create clarity, and interested in understanding the bigger picture. As the leader of the Telephony Team, you’ll work across a broad technical landscape, from core telephony to cloud, software architecture, and operations. You don’t need to be an expert in every area, but you have solid technical understanding, curiosity, and a willingness to learn.

You may come from a Senior or Lead Engineer background and stay close enough to technology to make sound decisions around architecture, quality, reliability, and trade-offs.

Key skills and experience we’re looking for:

• Proven experience leading engineering teams as an Engineering Manager, Tech Lead, or similar

• Strong people leadership skills, including coaching, mentoring, and developing individuals

• Experience creating effective processes, ways of working, and structures that help teams perform

• Comfortable with ambiguity and able to turn changing priorities into clear direction

• Solid technical understanding and curiosity across different technologies and domains

• Experience working with production software where reliability, quality, and maintainability matter

• Ability to connect engineering decisions to product and business priorities, and challenge constructively when needed

• Passion for building a healthy, inclusive, and high-performing team culture

Good-to-have skills:

• Good understanding of telephony concepts such as SIP, RTP, and related technologies

• Experience from a SaaS or B2B environment

• Familiarity with cloud architecture, event-driven systems, and DevOps practices

• Interest in using AI tooling to improve engineering ways of working

At Telavox, you’ll have the opportunity to grow as a leader, shape how we build software, and be part of a company that values both impact and having fun along the way.

Since Telavox's journey started in 2002, we have strengthened our position as the leading forward-thinking communication platform for businesses. As a digital mobile operator, we develop and own our all-in-one communication platform, which integrates telephony, PBX, messaging, meetings, and contact centers, giving businesses a smarter way to connect.

Today, we’re a thriving company with 1.9 billion SEK in revenue and 500+ Telavoxers across nine countries. We embrace AI and automation to push the boundaries of business communication.

We offer flexible work options and adaptable hours, giving you the freedom to balance life and career while staying connected to our vibrant Telavox culture.

Read more about our new HQ in Malmö 🏠!

At Telavox, we don't focus on fitting in; we focus on making room for everyone.

We’re always on the lookout for great talent, so applications are reviewed continuously. If you're ready to be part of an innovative, AI-driven telecom company, apply today with your CV and cover letter in English. 

Learn more about what we do! ⬇️

At Telavox, we’re looking for an Engineering Manager who is comfortable leading inside a fast-moving organisation, someone who can hold a team steady while priorities shift and knows how to introduce just enough structure to make a team faster, not slower. You’ll combine leading people with strong engineering judgement, and you’ll care as much about how reliably your team ships as about how quickly they move.

If you enjoy working with people, leading through change, and empowering teams to do their best work, this is your opportunity to make a real difference.

As an Engineering Manager at Telavox, you’ll lead our Telephony Team, responsible for developing people, strengthening team performance, and aligning engineering efforts with business and product goals.

The Telephony Team works on core telephony capabilities and collaborates closely with other engineering and product teams. You’ll help shape effective processes and ways of working, manage dependencies, and ensure clear technical contracts and interfaces between teams.

You’ll work closely with engineers, Product, and other stakeholders, contributing to technical discussions and architectural decisions while ensuring the team delivers scalable and sustainable solutions.

Your day-to-day work will include:

• Leading, coaching, and developing the Telephony Team, supporting growth, performance, and well-being

• Establishing effective processes and ways of working, adding structure where needed and removing it where it isn’t

• Creating clarity when priorities shift and translating business needs into clear plans

• Partnering with Product on priorities, roadmaps, and outcomes; delivering a highly scalable and competitive telephony platform

• Collaborating with other Engineering Managers and teams on dependencies, technical contracts, and interfaces

• Contributing to technical and architectural decisions and ensuring long-term scalability, availability, and maintainability

• Contributing to hiring and building a strong, inclusive, and diverse engineering team in a collaborative and high-performing environment

• Helping shape the broader engineering strategy, technical direction, and culture across engineering teams

You’re a confident engineering leader who is comfortable with ambiguity, able to create clarity, and interested in understanding the bigger picture. As the leader of the Telephony Team, you’ll work across a broad technical landscape, from core telephony to cloud, software architecture, and operations. You don’t need to be an expert in every area, but you have solid technical understanding, curiosity, and a willingness to learn.

You may come from a Senior or Lead Engineer background and stay close enough to technology to make sound decisions around architecture, quality, reliability, and trade-offs.

Key skills and experience we’re looking for:

• Proven experience leading engineering teams as an Engineering Manager, Tech Lead, or similar

• Strong people leadership skills, including coaching, mentoring, and developing individuals

• Experience creating effective processes, ways of working, and structures that help teams perform

• Comfortable with ambiguity and able to turn changing priorities into clear direction

• Solid technical understanding and curiosity across different technologies and domains

• Experience working with production software where reliability, quality, and maintainability matter

• Ability to connect engineering decisions to product and business priorities, and challenge constructively when needed

• Passion for building a healthy, inclusive, and high-performing team culture

Good-to-have skills:

• Good understanding of telephony concepts such as SIP, RTP, and related technologies

• Experience from a SaaS or B2B environment

• Familiarity with cloud architecture, event-driven systems, and DevOps practices

• Interest in using AI tooling to improve engineering ways of working

At Telavox, you’ll have the opportunity to grow as a leader, shape how we build software, and be part of a company that values both impact and having fun along the way.

Since Telavox's journey started in 2002, we have strengthened our position as the leading forward-thinking communication platform for businesses. As a digital mobile operator, we develop and own our all-in-one communication platform, which integrates telephony, PBX, messaging, meetings, and contact centers, giving businesses a smarter way to connect.

Today, we’re a thriving company with 1.9 billion SEK in revenue and 500+ Telavoxers across nine countries. We embrace AI and automation to push the boundaries of business communication.

We offer flexible work options and adaptable hours, giving you the freedom to balance life and career while staying connected to our vibrant Telavox culture.

Read more about our new HQ in Malmö 🏠!

At Telavox, we don't focus on fitting in; we focus on making room for everyone.

We’re always on the lookout for great talent, so applications are reviewed continuously. If you're ready to be part of an innovative, AI-driven telecom company, apply today with your CV and cover letter in English. 

Learn more about what we do! ⬇️

At Telavox, we’re looking for an Engineering Manager who is comfortable leading inside a fast-moving organisation, someone who can hold a team steady while priorities shift and knows how to introduce just enough structure to make a team faster, not slower. You’ll combine leading people with strong engineering judgement, and you’ll care as much about how reliably your team ships as about how quickly they move.

If you enjoy working with people, leading through change, and empowering teams to do their best work, this is your opportunity to make a real difference.

As an Engineering Manager at Telavox, you’ll lead our Telephony Team, responsible for developing people, strengthening team performance, and aligning engineering efforts with business and product goals.

The Telephony Team works on core telephony capabilities and collaborates closely with other engineering and product teams. You’ll help shape effective processes and ways of working, manage dependencies, and ensure clear technical contracts and interfaces between teams.

You’ll work closely with engineers, Product, and other stakeholders, contributing to technical discussions and architectural decisions while ensuring the team delivers scalable and sustainable solutions.

Your day-to-day work will include:

• Leading, coaching, and developing the Telephony Team, supporting growth, performance, and well-being

• Establishing effective processes and ways of working, adding structure where needed and removing it where it isn’t

• Creating clarity when priorities shift and translating business needs into clear plans

• Partnering with Product on priorities, roadmaps, and outcomes; delivering a highly scalable and competitive telephony platform

• Collaborating with other Engineering Managers and teams on dependencies, technical contracts, and interfaces

• Contributing to technical and architectural decisions and ensuring long-term scalability, availability, and maintainability

• Contributing to hiring and building a strong, inclusive, and diverse engineering team in a collaborative and high-performing environment

• Helping shape the broader engineering strategy, technical direction, and culture across engineering teams

You’re a confident engineering leader who is comfortable with ambiguity, able to create clarity, and interested in understanding the bigger picture. As the leader of the Telephony Team, you’ll work across a broad technical landscape, from core telephony to cloud, software architecture, and operations. You don’t need to be an expert in every area, but you have solid technical understanding, curiosity, and a willingness to learn.

You may come from a Senior or Lead Engineer background and stay close enough to technology to make sound decisions around architecture, quality, reliability, and trade-offs.

Key skills and experience we’re looking for:

• Proven experience leading engineering teams as an Engineering Manager, Tech Lead, or similar

• Strong people leadership skills, including coaching, mentoring, and developing individuals

• Experience creating effective processes, ways of working, and structures that help teams perform

• Comfortable with ambiguity and able to turn changing priorities into clear direction

• Solid technical understanding and curiosity across different technologies and domains

• Experience working with production software where reliability, quality, and maintainability matter

• Ability to connect engineering decisions to product and business priorities, and challenge constructively when needed

• Passion for building a healthy, inclusive, and high-performing team culture

Good-to-have skills:

• Good understanding of telephony concepts such as SIP, RTP, and related technologies

• Experience from a SaaS or B2B environment

• Familiarity with cloud architecture, event-driven systems, and DevOps practices

• Interest in using AI tooling to improve engineering ways of working

At Telavox, you’ll have the opportunity to grow as a leader, shape how we build software, and be part of a company that values both impact and having fun along the way.

Since Telavox's journey started in 2002, we have strengthened our position as the leading forward-thinking communication platform for businesses. As a digital mobile operator, we develop and own our all-in-one communication platform, which integrates telephony, PBX, messaging, meetings, and contact centers, giving businesses a smarter way to connect.

Today, we’re a thriving company with 1.9 billion SEK in revenue and 500+ Telavoxers across nine countries. We embrace AI and automation to push the boundaries of business communication.

We offer flexible work options and adaptable hours, giving you the freedom to balance life and career while staying connected to our vibrant Telavox culture.

Read more about our new HQ in Malmö 🏠!

At Telavox, we don't focus on fitting in; we focus on making room for everyone.

We’re always on the lookout for great talent, so applications are reviewed continuously. If you're ready to be part of an innovative, AI-driven telecom company, apply today with your CV and cover letter in English. 

Learn more about what we do! ⬇️

Senior Full-Stack Engineer (ML & Data)

Own our prediction models from training pipeline to customer-facing feature. Strong applied ML — calibration, evals, leakage — plus full-stack TypeScript to ship it.

We build AI agents that audit and optimize e-commerce advertising. Our platform syncs live data from Google Ads, Meta, Merchant Center, and Google Analytics, runs it through a rule engine, LLM-powered audit agents, and our own prediction models, and turns findings into concrete actions marketers can apply with one click.

What sets us apart is measurement: we connect real profit data from our customers' e-commerce platforms to their ad accounts and build models that tell them what their marketing actually returns — not what ad platforms self-report. The ML in our product isn't decoration. Prediction models, calibration, and evaluation pipelines are core to what customers pay for.

We're a small team shipping fast on a modern, strictly-typed stack. You'd report directly to the CTO, with real ownership: features you design end-to-end, and models you own from training data to the number a customer sees on screen.

The role

This is a hybrid role — roughly 60% product engineering, 40% ML & data science. You'll ship full-stack features in our TypeScript monorepo and own prediction models as production software: framing the problem, building training and evaluation pipelines, monitoring calibration drift, and wiring outputs into the product.

We're not looking for a research scientist, or a pure web engineer. We want someone who treats a model the way a good engineer treats a service: tested, monitored, versioned, and honest about its failure modes.

What you'll do

• Own prediction models end-to-end — models that predict product returns and net profit per order — training data pipelines, feature engineering, evaluation (ranking quality and calibration), recalibration strategies, and serving model output into the product.
• Build and maintain data pipelines — SQL feature builders on PostgreSQL shared by training and serving, versioned dataset exports, backfills, and data quality checks that keep training data honest (no leakage, no silent schema drift).
• Design and build features across our TypeScript monorepo — tRPC procedures and NestJS services on the backend, React on the frontend — so model insights become actions marketers can apply with one click.
• Work on the AI audit agent — prompt design, rule evaluation, structured-output evals, and plumbing that turns LLM output into reliable, deduplicated actions across multiple model providers.
• Extend integration workers — sync campaign, product, and analytics data from Google and Meta APIs via Cloud Pub/Sub pipelines.
• Evolve the data model in PostgreSQL/Prisma — keep migrations, multi-tenancy, and role-based access clean as the product grows.
• Own quality — write tests (Jest on TypeScript, pytest on Python), review PRs, and keep our CI/CD pipeline to Cloud Run fast and boring.

Our stack

Backend — TypeScript, Node, js, NestJS + Fastify, tRPC, Zod, Prisma, PostgreSQL, ML & data — Python, pandas, scikit-learn, XGBoost, PyTorch, ONNX, SQL on PostgreSQL, BigQuery, Calibration pipelines, Bayesian MMM (Google Meridian)

Model serving — FastAPI on Cloud Run · Cloud Run Jobs · GPU training on GCP Batch

Frontend — React · Vite · Tailwind · End-to-end types via tRPC

Infrastructure — Google Cloud Run · Pub/Sub · Docker · Terraform · GitHub Actions · pnpm workspaces

AI & integrations — Multiple LLM providers · Google Ads · Meta · Merchant Center · GA4

What we're looking for

• 5+ years building production software, with strong TypeScript on both server and client — or strong TypeScript on one side plus deep Python, with the willingness to close the gap fast.
• Hands-on applied ML: you've trained, evaluated, and shipped prediction models that real users depended on. You can explain the difference between good ranking and good calibration, know what data leakage looks like, and have debugged a model that was confidently wrong.
• Fluent Python for data work (pandas, scikit-learn or similar) and strong SQL — comfortable with large datasets in PostgreSQL or BigQuery.
• Solid relational database instincts — schema design, migrations, and query performance in PostgreSQL (Prisma is a plus).
• Experience with event-driven or queue-based architectures (Pub/Sub, SQS, Kafka, or similar) and their failure modes.
• A habit of testing: you write tests because they let you move faster, not because someone told you to.
• Pragmatic product sense — you ask why before how, and you'd rather ship a focused, well-measured model than a state-of-the-art one nobody can maintain.

Nice to have

• Bayesian modeling or marketing mix modeling experience (priors, ROI calibration, health diagnostics).
• Hands-on work with LLM APIs in production — prompting, evals, structured output, cost control, switching providers.
• Experience serving models on GCP (Cloud Run, GCP Batch, Vertex AI) and monitoring for drift.
• Familiarity with Google Ads, Meta, or Merchant Center APIs, or ad-tech / e-commerce domain experience.
• NestJS, tRPC, or GCP (Cloud Run, Artifact Registry, Workload Identity) in a previous role.

How we work

Small team, short feedback loops, no ceremony for ceremony's sake. Strict TypeScript, code review on everything, CI that deploys to Cloud Run on merge. Models are held to the same standard as code: evaluated before they ship, monitored after. We optimize for shipping value weekly and keeping the codebase a place people enjoy working in.

We're a fast-growing team building AI agents that handle the repetitive work — so companies can focus on vision, strategy, and innovation. Here, you'll own ideas from first sketch to finished product, work closely with the founders, and see your impact immediately. We celebrate success, learn from challenges, and believe true magic happens through collaboration.

Want to shape the future of AI-driven marketing?

Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

Welcome to submit your application!

Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

Senior Full-Stack Engineer (ML & Data)

Own our prediction models from training pipeline to customer-facing feature. Strong applied ML — calibration, evals, leakage — plus full-stack TypeScript to ship it.

We build AI agents that audit and optimize e-commerce advertising. Our platform syncs live data from Google Ads, Meta, Merchant Center, and Google Analytics, runs it through a rule engine, LLM-powered audit agents, and our own prediction models, and turns findings into concrete actions marketers can apply with one click.

What sets us apart is measurement: we connect real profit data from our customers' e-commerce platforms to their ad accounts and build models that tell them what their marketing actually returns — not what ad platforms self-report. The ML in our product isn't decoration. Prediction models, calibration, and evaluation pipelines are core to what customers pay for.

We're a small team shipping fast on a modern, strictly-typed stack. You'd report directly to the CTO, with real ownership: features you design end-to-end, and models you own from training data to the number a customer sees on screen.

The role

This is a hybrid role — roughly 60% product engineering, 40% ML & data science. You'll ship full-stack features in our TypeScript monorepo and own prediction models as production software: framing the problem, building training and evaluation pipelines, monitoring calibration drift, and wiring outputs into the product.

We're not looking for a research scientist, or a pure web engineer. We want someone who treats a model the way a good engineer treats a service: tested, monitored, versioned, and honest about its failure modes.

What you'll do

• Own prediction models end-to-end — models that predict product returns and net profit per order — training data pipelines, feature engineering, evaluation (ranking quality and calibration), recalibration strategies, and serving model output into the product.
• Build and maintain data pipelines — SQL feature builders on PostgreSQL shared by training and serving, versioned dataset exports, backfills, and data quality checks that keep training data honest (no leakage, no silent schema drift).
• Design and build features across our TypeScript monorepo — tRPC procedures and NestJS services on the backend, React on the frontend — so model insights become actions marketers can apply with one click.
• Work on the AI audit agent — prompt design, rule evaluation, structured-output evals, and plumbing that turns LLM output into reliable, deduplicated actions across multiple model providers.
• Extend integration workers — sync campaign, product, and analytics data from Google and Meta APIs via Cloud Pub/Sub pipelines.
• Evolve the data model in PostgreSQL/Prisma — keep migrations, multi-tenancy, and role-based access clean as the product grows.
• Own quality — write tests (Jest on TypeScript, pytest on Python), review PRs, and keep our CI/CD pipeline to Cloud Run fast and boring.

Our stack

Backend — TypeScript, Node, js, NestJS + Fastify, tRPC, Zod, Prisma, PostgreSQL, ML & data — Python, pandas, scikit-learn, XGBoost, PyTorch, ONNX, SQL on PostgreSQL, BigQuery, Calibration pipelines, Bayesian MMM (Google Meridian)

Model serving — FastAPI on Cloud Run · Cloud Run Jobs · GPU training on GCP Batch

Frontend — React · Vite · Tailwind · End-to-end types via tRPC

Infrastructure — Google Cloud Run · Pub/Sub · Docker · Terraform · GitHub Actions · pnpm workspaces

AI & integrations — Multiple LLM providers · Google Ads · Meta · Merchant Center · GA4

What we're looking for

• 5+ years building production software, with strong TypeScript on both server and client — or strong TypeScript on one side plus deep Python, with the willingness to close the gap fast.
• Hands-on applied ML: you've trained, evaluated, and shipped prediction models that real users depended on. You can explain the difference between good ranking and good calibration, know what data leakage looks like, and have debugged a model that was confidently wrong.
• Fluent Python for data work (pandas, scikit-learn or similar) and strong SQL — comfortable with large datasets in PostgreSQL or BigQuery.
• Solid relational database instincts — schema design, migrations, and query performance in PostgreSQL (Prisma is a plus).
• Experience with event-driven or queue-based architectures (Pub/Sub, SQS, Kafka, or similar) and their failure modes.
• A habit of testing: you write tests because they let you move faster, not because someone told you to.
• Pragmatic product sense — you ask why before how, and you'd rather ship a focused, well-measured model than a state-of-the-art one nobody can maintain.

Nice to have

• Bayesian modeling or marketing mix modeling experience (priors, ROI calibration, health diagnostics).
• Hands-on work with LLM APIs in production — prompting, evals, structured output, cost control, switching providers.
• Experience serving models on GCP (Cloud Run, GCP Batch, Vertex AI) and monitoring for drift.
• Familiarity with Google Ads, Meta, or Merchant Center APIs, or ad-tech / e-commerce domain experience.
• NestJS, tRPC, or GCP (Cloud Run, Artifact Registry, Workload Identity) in a previous role.

How we work

Small team, short feedback loops, no ceremony for ceremony's sake. Strict TypeScript, code review on everything, CI that deploys to Cloud Run on merge. Models are held to the same standard as code: evaluated before they ship, monitored after. We optimize for shipping value weekly and keeping the codebase a place people enjoy working in.

We're a fast-growing team building AI agents that handle the repetitive work — so companies can focus on vision, strategy, and innovation. Here, you'll own ideas from first sketch to finished product, work closely with the founders, and see your impact immediately. We celebrate success, learn from challenges, and believe true magic happens through collaboration.

Want to shape the future of AI-driven marketing?

Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

Welcome to submit your application!

Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

Senior Full-Stack Engineer (ML & Data)

Own our prediction models from training pipeline to customer-facing feature. Strong applied ML — calibration, evals, leakage — plus full-stack TypeScript to ship it.

We build AI agents that audit and optimize e-commerce advertising. Our platform syncs live data from Google Ads, Meta, Merchant Center, and Google Analytics, runs it through a rule engine, LLM-powered audit agents, and our own prediction models, and turns findings into concrete actions marketers can apply with one click.

What sets us apart is measurement: we connect real profit data from our customers' e-commerce platforms to their ad accounts and build models that tell them what their marketing actually returns — not what ad platforms self-report. The ML in our product isn't decoration. Prediction models, calibration, and evaluation pipelines are core to what customers pay for.

We're a small team shipping fast on a modern, strictly-typed stack. You'd report directly to the CTO, with real ownership: features you design end-to-end, and models you own from training data to the number a customer sees on screen.

The role

This is a hybrid role — roughly 60% product engineering, 40% ML & data science. You'll ship full-stack features in our TypeScript monorepo and own prediction models as production software: framing the problem, building training and evaluation pipelines, monitoring calibration drift, and wiring outputs into the product.

We're not looking for a research scientist, or a pure web engineer. We want someone who treats a model the way a good engineer treats a service: tested, monitored, versioned, and honest about its failure modes.

What you'll do

• Own prediction models end-to-end — models that predict product returns and net profit per order — training data pipelines, feature engineering, evaluation (ranking quality and calibration), recalibration strategies, and serving model output into the product.
• Build and maintain data pipelines — SQL feature builders on PostgreSQL shared by training and serving, versioned dataset exports, backfills, and data quality checks that keep training data honest (no leakage, no silent schema drift).
• Design and build features across our TypeScript monorepo — tRPC procedures and NestJS services on the backend, React on the frontend — so model insights become actions marketers can apply with one click.
• Work on the AI audit agent — prompt design, rule evaluation, structured-output evals, and plumbing that turns LLM output into reliable, deduplicated actions across multiple model providers.
• Extend integration workers — sync campaign, product, and analytics data from Google and Meta APIs via Cloud Pub/Sub pipelines.
• Evolve the data model in PostgreSQL/Prisma — keep migrations, multi-tenancy, and role-based access clean as the product grows.
• Own quality — write tests (Jest on TypeScript, pytest on Python), review PRs, and keep our CI/CD pipeline to Cloud Run fast and boring.

Our stack

Backend — TypeScript, Node, js, NestJS + Fastify, tRPC, Zod, Prisma, PostgreSQL, ML & data — Python, pandas, scikit-learn, XGBoost, PyTorch, ONNX, SQL on PostgreSQL, BigQuery, Calibration pipelines, Bayesian MMM (Google Meridian)

Model serving — FastAPI on Cloud Run · Cloud Run Jobs · GPU training on GCP Batch

Frontend — React · Vite · Tailwind · End-to-end types via tRPC

Infrastructure — Google Cloud Run · Pub/Sub · Docker · Terraform · GitHub Actions · pnpm workspaces

AI & integrations — Multiple LLM providers · Google Ads · Meta · Merchant Center · GA4

What we're looking for

• 5+ years building production software, with strong TypeScript on both server and client — or strong TypeScript on one side plus deep Python, with the willingness to close the gap fast.
• Hands-on applied ML: you've trained, evaluated, and shipped prediction models that real users depended on. You can explain the difference between good ranking and good calibration, know what data leakage looks like, and have debugged a model that was confidently wrong.
• Fluent Python for data work (pandas, scikit-learn or similar) and strong SQL — comfortable with large datasets in PostgreSQL or BigQuery.
• Solid relational database instincts — schema design, migrations, and query performance in PostgreSQL (Prisma is a plus).
• Experience with event-driven or queue-based architectures (Pub/Sub, SQS, Kafka, or similar) and their failure modes.
• A habit of testing: you write tests because they let you move faster, not because someone told you to.
• Pragmatic product sense — you ask why before how, and you'd rather ship a focused, well-measured model than a state-of-the-art one nobody can maintain.

Nice to have

• Bayesian modeling or marketing mix modeling experience (priors, ROI calibration, health diagnostics).
• Hands-on work with LLM APIs in production — prompting, evals, structured output, cost control, switching providers.
• Experience serving models on GCP (Cloud Run, GCP Batch, Vertex AI) and monitoring for drift.
• Familiarity with Google Ads, Meta, or Merchant Center APIs, or ad-tech / e-commerce domain experience.
• NestJS, tRPC, or GCP (Cloud Run, Artifact Registry, Workload Identity) in a previous role.

How we work

Small team, short feedback loops, no ceremony for ceremony's sake. Strict TypeScript, code review on everything, CI that deploys to Cloud Run on merge. Models are held to the same standard as code: evaluated before they ship, monitored after. We optimize for shipping value weekly and keeping the codebase a place people enjoy working in.

We're a fast-growing team building AI agents that handle the repetitive work — so companies can focus on vision, strategy, and innovation. Here, you'll own ideas from first sketch to finished product, work closely with the founders, and see your impact immediately. We celebrate success, learn from challenges, and believe true magic happens through collaboration.

Want to shape the future of AI-driven marketing?

Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

Welcome to submit your application!

Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

Senior Full-Stack Engineer (ML & Data)

Own our prediction models from training pipeline to customer-facing feature. Strong applied ML — calibration, evals, leakage — plus full-stack TypeScript to ship it.

We build AI agents that audit and optimize e-commerce advertising. Our platform syncs live data from Google Ads, Meta, Merchant Center, and Google Analytics, runs it through a rule engine, LLM-powered audit agents, and our own prediction models, and turns findings into concrete actions marketers can apply with one click.

What sets us apart is measurement: we connect real profit data from our customers' e-commerce platforms to their ad accounts and build models that tell them what their marketing actually returns — not what ad platforms self-report. The ML in our product isn't decoration. Prediction models, calibration, and evaluation pipelines are core to what customers pay for.

We're a small team shipping fast on a modern, strictly-typed stack. You'd report directly to the CTO, with real ownership: features you design end-to-end, and models you own from training data to the number a customer sees on screen.

The role

This is a hybrid role — roughly 60% product engineering, 40% ML & data science. You'll ship full-stack features in our TypeScript monorepo and own prediction models as production software: framing the problem, building training and evaluation pipelines, monitoring calibration drift, and wiring outputs into the product.

We're not looking for a research scientist, or a pure web engineer. We want someone who treats a model the way a good engineer treats a service: tested, monitored, versioned, and honest about its failure modes.

What you'll do

• Own prediction models end-to-end — models that predict product returns and net profit per order — training data pipelines, feature engineering, evaluation (ranking quality and calibration), recalibration strategies, and serving model output into the product.
• Build and maintain data pipelines — SQL feature builders on PostgreSQL shared by training and serving, versioned dataset exports, backfills, and data quality checks that keep training data honest (no leakage, no silent schema drift).
• Design and build features across our TypeScript monorepo — tRPC procedures and NestJS services on the backend, React on the frontend — so model insights become actions marketers can apply with one click.
• Work on the AI audit agent — prompt design, rule evaluation, structured-output evals, and plumbing that turns LLM output into reliable, deduplicated actions across multiple model providers.
• Extend integration workers — sync campaign, product, and analytics data from Google and Meta APIs via Cloud Pub/Sub pipelines.
• Evolve the data model in PostgreSQL/Prisma — keep migrations, multi-tenancy, and role-based access clean as the product grows.
• Own quality — write tests (Jest on TypeScript, pytest on Python), review PRs, and keep our CI/CD pipeline to Cloud Run fast and boring.

Our stack

Backend — TypeScript, Node, js, NestJS + Fastify, tRPC, Zod, Prisma, PostgreSQL, ML & data — Python, pandas, scikit-learn, XGBoost, PyTorch, ONNX, SQL on PostgreSQL, BigQuery, Calibration pipelines, Bayesian MMM (Google Meridian)

Model serving — FastAPI on Cloud Run · Cloud Run Jobs · GPU training on GCP Batch

Frontend — React · Vite · Tailwind · End-to-end types via tRPC

Infrastructure — Google Cloud Run · Pub/Sub · Docker · Terraform · GitHub Actions · pnpm workspaces

AI & integrations — Multiple LLM providers · Google Ads · Meta · Merchant Center · GA4

What we're looking for

• 5+ years building production software, with strong TypeScript on both server and client — or strong TypeScript on one side plus deep Python, with the willingness to close the gap fast.
• Hands-on applied ML: you've trained, evaluated, and shipped prediction models that real users depended on. You can explain the difference between good ranking and good calibration, know what data leakage looks like, and have debugged a model that was confidently wrong.
• Fluent Python for data work (pandas, scikit-learn or similar) and strong SQL — comfortable with large datasets in PostgreSQL or BigQuery.
• Solid relational database instincts — schema design, migrations, and query performance in PostgreSQL (Prisma is a plus).
• Experience with event-driven or queue-based architectures (Pub/Sub, SQS, Kafka, or similar) and their failure modes.
• A habit of testing: you write tests because they let you move faster, not because someone told you to.
• Pragmatic product sense — you ask why before how, and you'd rather ship a focused, well-measured model than a state-of-the-art one nobody can maintain.

Nice to have

• Bayesian modeling or marketing mix modeling experience (priors, ROI calibration, health diagnostics).
• Hands-on work with LLM APIs in production — prompting, evals, structured output, cost control, switching providers.
• Experience serving models on GCP (Cloud Run, GCP Batch, Vertex AI) and monitoring for drift.
• Familiarity with Google Ads, Meta, or Merchant Center APIs, or ad-tech / e-commerce domain experience.
• NestJS, tRPC, or GCP (Cloud Run, Artifact Registry, Workload Identity) in a previous role.

How we work

Small team, short feedback loops, no ceremony for ceremony's sake. Strict TypeScript, code review on everything, CI that deploys to Cloud Run on merge. Models are held to the same standard as code: evaluated before they ship, monitored after. We optimize for shipping value weekly and keeping the codebase a place people enjoy working in.

We're a fast-growing team building AI agents that handle the repetitive work — so companies can focus on vision, strategy, and innovation. Here, you'll own ideas from first sketch to finished product, work closely with the founders, and see your impact immediately. We celebrate success, learn from challenges, and believe true magic happens through collaboration.

Want to shape the future of AI-driven marketing?

Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

Welcome to submit your application!

Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

Senior Full-Stack Engineer (ML & Data)

Own our prediction models from training pipeline to customer-facing feature. Strong applied ML — calibration, evals, leakage — plus full-stack TypeScript to ship it.

We build AI agents that audit and optimize e-commerce advertising. Our platform syncs live data from Google Ads, Meta, Merchant Center, and Google Analytics, runs it through a rule engine, LLM-powered audit agents, and our own prediction models, and turns findings into concrete actions marketers can apply with one click.

What sets us apart is measurement: we connect real profit data from our customers' e-commerce platforms to their ad accounts and build models that tell them what their marketing actually returns — not what ad platforms self-report. The ML in our product isn't decoration. Prediction models, calibration, and evaluation pipelines are core to what customers pay for.

We're a small team shipping fast on a modern, strictly-typed stack. You'd report directly to the CTO, with real ownership: features you design end-to-end, and models you own from training data to the number a customer sees on screen.

The role

This is a hybrid role — roughly 60% product engineering, 40% ML & data science. You'll ship full-stack features in our TypeScript monorepo and own prediction models as production software: framing the problem, building training and evaluation pipelines, monitoring calibration drift, and wiring outputs into the product.

We're not looking for a research scientist, or a pure web engineer. We want someone who treats a model the way a good engineer treats a service: tested, monitored, versioned, and honest about its failure modes.

What you'll do

• Own prediction models end-to-end — models that predict product returns and net profit per order — training data pipelines, feature engineering, evaluation (ranking quality and calibration), recalibration strategies, and serving model output into the product.
• Build and maintain data pipelines — SQL feature builders on PostgreSQL shared by training and serving, versioned dataset exports, backfills, and data quality checks that keep training data honest (no leakage, no silent schema drift).
• Design and build features across our TypeScript monorepo — tRPC procedures and NestJS services on the backend, React on the frontend — so model insights become actions marketers can apply with one click.
• Work on the AI audit agent — prompt design, rule evaluation, structured-output evals, and plumbing that turns LLM output into reliable, deduplicated actions across multiple model providers.
• Extend integration workers — sync campaign, product, and analytics data from Google and Meta APIs via Cloud Pub/Sub pipelines.
• Evolve the data model in PostgreSQL/Prisma — keep migrations, multi-tenancy, and role-based access clean as the product grows.
• Own quality — write tests (Jest on TypeScript, pytest on Python), review PRs, and keep our CI/CD pipeline to Cloud Run fast and boring.

Our stack

Backend — TypeScript, Node, js, NestJS + Fastify, tRPC, Zod, Prisma, PostgreSQL, ML & data — Python, pandas, scikit-learn, XGBoost, PyTorch, ONNX, SQL on PostgreSQL, BigQuery, Calibration pipelines, Bayesian MMM (Google Meridian)

Model serving — FastAPI on Cloud Run · Cloud Run Jobs · GPU training on GCP Batch

Frontend — React · Vite · Tailwind · End-to-end types via tRPC

Infrastructure — Google Cloud Run · Pub/Sub · Docker · Terraform · GitHub Actions · pnpm workspaces

AI & integrations — Multiple LLM providers · Google Ads · Meta · Merchant Center · GA4

What we're looking for

• 5+ years building production software, with strong TypeScript on both server and client — or strong TypeScript on one side plus deep Python, with the willingness to close the gap fast.
• Hands-on applied ML: you've trained, evaluated, and shipped prediction models that real users depended on. You can explain the difference between good ranking and good calibration, know what data leakage looks like, and have debugged a model that was confidently wrong.
• Fluent Python for data work (pandas, scikit-learn or similar) and strong SQL — comfortable with large datasets in PostgreSQL or BigQuery.
• Solid relational database instincts — schema design, migrations, and query performance in PostgreSQL (Prisma is a plus).
• Experience with event-driven or queue-based architectures (Pub/Sub, SQS, Kafka, or similar) and their failure modes.
• A habit of testing: you write tests because they let you move faster, not because someone told you to.
• Pragmatic product sense — you ask why before how, and you'd rather ship a focused, well-measured model than a state-of-the-art one nobody can maintain.

Nice to have

• Bayesian modeling or marketing mix modeling experience (priors, ROI calibration, health diagnostics).
• Hands-on work with LLM APIs in production — prompting, evals, structured output, cost control, switching providers.
• Experience serving models on GCP (Cloud Run, GCP Batch, Vertex AI) and monitoring for drift.
• Familiarity with Google Ads, Meta, or Merchant Center APIs, or ad-tech / e-commerce domain experience.
• NestJS, tRPC, or GCP (Cloud Run, Artifact Registry, Workload Identity) in a previous role.

How we work

Small team, short feedback loops, no ceremony for ceremony's sake. Strict TypeScript, code review on everything, CI that deploys to Cloud Run on merge. Models are held to the same standard as code: evaluated before they ship, monitored after. We optimize for shipping value weekly and keeping the codebase a place people enjoy working in.

We're a fast-growing team building AI agents that handle the repetitive work — so companies can focus on vision, strategy, and innovation. Here, you'll own ideas from first sketch to finished product, work closely with the founders, and see your impact immediately. We celebrate success, learn from challenges, and believe true magic happens through collaboration.

Want to shape the future of AI-driven marketing?

Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

Welcome to submit your application!

Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.

Senior Full-Stack Engineer (ML & Data)

Own our prediction models from training pipeline to customer-facing feature. Strong applied ML — calibration, evals, leakage — plus full-stack TypeScript to ship it.

We build AI agents that audit and optimize e-commerce advertising. Our platform syncs live data from Google Ads, Meta, Merchant Center, and Google Analytics, runs it through a rule engine, LLM-powered audit agents, and our own prediction models, and turns findings into concrete actions marketers can apply with one click.

What sets us apart is measurement: we connect real profit data from our customers' e-commerce platforms to their ad accounts and build models that tell them what their marketing actually returns — not what ad platforms self-report. The ML in our product isn't decoration. Prediction models, calibration, and evaluation pipelines are core to what customers pay for.

We're a small team shipping fast on a modern, strictly-typed stack. You'd report directly to the CTO, with real ownership: features you design end-to-end, and models you own from training data to the number a customer sees on screen.

The role

This is a hybrid role — roughly 60% product engineering, 40% ML & data science. You'll ship full-stack features in our TypeScript monorepo and own prediction models as production software: framing the problem, building training and evaluation pipelines, monitoring calibration drift, and wiring outputs into the product.

We're not looking for a research scientist, or a pure web engineer. We want someone who treats a model the way a good engineer treats a service: tested, monitored, versioned, and honest about its failure modes.

What you'll do

• Own prediction models end-to-end — models that predict product returns and net profit per order — training data pipelines, feature engineering, evaluation (ranking quality and calibration), recalibration strategies, and serving model output into the product.
• Build and maintain data pipelines — SQL feature builders on PostgreSQL shared by training and serving, versioned dataset exports, backfills, and data quality checks that keep training data honest (no leakage, no silent schema drift).
• Design and build features across our TypeScript monorepo — tRPC procedures and NestJS services on the backend, React on the frontend — so model insights become actions marketers can apply with one click.
• Work on the AI audit agent — prompt design, rule evaluation, structured-output evals, and plumbing that turns LLM output into reliable, deduplicated actions across multiple model providers.
• Extend integration workers — sync campaign, product, and analytics data from Google and Meta APIs via Cloud Pub/Sub pipelines.
• Evolve the data model in PostgreSQL/Prisma — keep migrations, multi-tenancy, and role-based access clean as the product grows.
• Own quality — write tests (Jest on TypeScript, pytest on Python), review PRs, and keep our CI/CD pipeline to Cloud Run fast and boring.

Our stack

Backend — TypeScript, Node, js, NestJS + Fastify, tRPC, Zod, Prisma, PostgreSQL, ML & data — Python, pandas, scikit-learn, XGBoost, PyTorch, ONNX, SQL on PostgreSQL, BigQuery, Calibration pipelines, Bayesian MMM (Google Meridian)

Model serving — FastAPI on Cloud Run · Cloud Run Jobs · GPU training on GCP Batch

Frontend — React · Vite · Tailwind · End-to-end types via tRPC

Infrastructure — Google Cloud Run · Pub/Sub · Docker · Terraform · GitHub Actions · pnpm workspaces

AI & integrations — Multiple LLM providers · Google Ads · Meta · Merchant Center · GA4

What we're looking for

• 5+ years building production software, with strong TypeScript on both server and client — or strong TypeScript on one side plus deep Python, with the willingness to close the gap fast.
• Hands-on applied ML: you've trained, evaluated, and shipped prediction models that real users depended on. You can explain the difference between good ranking and good calibration, know what data leakage looks like, and have debugged a model that was confidently wrong.
• Fluent Python for data work (pandas, scikit-learn or similar) and strong SQL — comfortable with large datasets in PostgreSQL or BigQuery.
• Solid relational database instincts — schema design, migrations, and query performance in PostgreSQL (Prisma is a plus).
• Experience with event-driven or queue-based architectures (Pub/Sub, SQS, Kafka, or similar) and their failure modes.
• A habit of testing: you write tests because they let you move faster, not because someone told you to.
• Pragmatic product sense — you ask why before how, and you'd rather ship a focused, well-measured model than a state-of-the-art one nobody can maintain.

Nice to have

• Bayesian modeling or marketing mix modeling experience (priors, ROI calibration, health diagnostics).
• Hands-on work with LLM APIs in production — prompting, evals, structured output, cost control, switching providers.
• Experience serving models on GCP (Cloud Run, GCP Batch, Vertex AI) and monitoring for drift.
• Familiarity with Google Ads, Meta, or Merchant Center APIs, or ad-tech / e-commerce domain experience.
• NestJS, tRPC, or GCP (Cloud Run, Artifact Registry, Workload Identity) in a previous role.

How we work

Small team, short feedback loops, no ceremony for ceremony's sake. Strict TypeScript, code review on everything, CI that deploys to Cloud Run on merge. Models are held to the same standard as code: evaluated before they ship, monitored after. We optimize for shipping value weekly and keeping the codebase a place people enjoy working in.

We're a fast-growing team building AI agents that handle the repetitive work — so companies can focus on vision, strategy, and innovation. Here, you'll own ideas from first sketch to finished product, work closely with the founders, and see your impact immediately. We celebrate success, learn from challenges, and believe true magic happens through collaboration.

Want to shape the future of AI-driven marketing?

Interviews are conducted on an ongoing basis, so please submit your application as soon as possible.

You will be employed directly by the company. You will receive information about which company the advertisement refers to when you are in contact with the recruiter. Bumbli Group is therefore not the employer but the recruitment agency.

Welcome to submit your application!

Bumbli Group is part of House of Recruitment — a personal, traditional and quality-driven recruitment agency in Gothenburg.