20 beste Stellen als team lead machine learning in berlin – aktuell auf Personalsuche

Senior ML Research Scientist – AI & Generative Recommendation (m/f/d)
adjoe —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Informatik
- Master
Direkt bewerben
Senior Infrastructure Engineer (f/m/d)
alcemy —Berlin
- Vollzeit
- Englisch
- AWS
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- Flexible Arbeitszeiten
Robotics Engineer - Vision Language Action Model
Sensmore —Berlin
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
Robotics Engineer - AI
Sensmore —Berlin
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
Senior HR Manager (m/w/d)
jobpal —Berlin
Direkt bewerben
Senior Staff Customer Engineer – Automotive AI
Sonatus —Berlin
- Homeoffice
- Azure
- Doktorat
- Informatik
Direkt bewerben
(Senior) Consultant (m/w/d) - Pricing
hy Consulting Group GmbH —Berlin
- Hybrides Arbeiten
- Englisch
- Finanzwirtschaft
- Machine Learning
Senior Software Engineer - Energy Markets (m/f/d)
1Komma5Grad —Berlin
- Vollzeit
- Machine Learning
- APIs
- Python
Lead Python Developer (m/w/d)
jobpal —Berlin
- AWS
- JavaScript
- Python
Direkt bewerben
(Senior) Applied Scientist, Search
Wolt - English —Berlin
- Homeoffice
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
5 Tage
Consultant (m/w/d) - Pricing & Sales
hy Consulting Group GmbH —Berlin
- Hybrides Arbeiten
- Englisch
- Finanzwirtschaft
- Machine Learning
Head of Marketing (m/w/d)
jobpal —Berlin
- Marketing
Direkt bewerben
Oliver Wyman - Data & Analytics Consulting - Intern (m/f/d) - Berlin
Oliver Wyman —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Englisch
- Master
Software Engineer (m/f/d)
Flix —Berlin
- Datenanalyse
- AWS
- Softwareentwicklung
Direkt bewerben
Senior Robotics ML Engineer
Realtime Robotics —Berlin
- Hybrides Arbeiten
- Microsoft Excel
- Doktorat
- Informatik
Direkt bewerben
6 Tage
Sr. Robotics Software Engineer, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Informatik
- Java
Staff/Principal Software Engineer (Frontend)
Parloa —Berlin
- Azure
- APIs
- Flexible Arbeitszeiten
Direkt bewerben
12 Tage
AI Product Owner - International Big Data Team (m/w/d)
Würth-Gruppe —Berlin
- Teilzeit
- DevOps
- Englisch
- Master
Senior Pricing Analyst, AWS Monetization
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Microsoft Excel
- Vertrieb
- Master
- Flexible Arbeitszeiten
7 Tage
Internal Displacement Monitoring and Data Unit Manager, IDMC
Norwegian Refugee Council —Berlin
- Master
- AWS
- Projektmanagement
22 Std.

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Senior ML Research Scientist – AI & Generative Recommendation (m/f/d)

adjoe
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Jira
Go
Doktorat
Informatik
PyTorch
Master
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world's smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem.

Next-Gen Machine Intelligence for Scalable Discovery & Engagement

The Data Science Research team builds foundational ML representations and advanced AI capabilities that enhance both Playtime and adjoe Ads. Operating as a horizontal deep-tech layer, the team leverages advanced AI and deep learning approaches—specifically generative approaches —to deliver critical systems such as high-dimensional user embeddings, general content understanding and sequential recommendation. These frameworks scale adjoe's products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users.

The team operates at the intersection of bleeding-edge R&D and high-scale production engineering, acting as the company’s internal science bar raiser and primary consulting layer for complex ML bottlenecks. The stack is optimized for deep learning and heavy data throughput: PyTorch and [Ray/Hugging Face] for training and fine-tuning foundation models, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure for heavy workloads. The full lifecycle of these AI capabilities is owned by the team—from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain high-throughput, realtime production environments.

Your Mission & Who We Are Looking For:

PhD or equivalent research depth, with a production track record. You have a PhD in CS, Statistics, Math, or Physics, or an MSc with extensive industry research, and publications in top-tier venues like SIGIR, KDD, NeurIPS, or ICLR. You've spent 4+ years building large-scale recommender systems in high-throughput environments: AdTech, e-commerce, or social.
You translate research into production, not just prototypes. You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting multi-stage recommendation pipelines, Generative Retrieval, Deep Ranking, and Re-ranking, serving millions of requests across a stack built on 770 million users' behavioral data.
Deep expertise in PyTorch and large-scale model optimization. You have hands-on experience with high-concurrency optimization, model quantization, and distillation, the engineering side of getting large generative models to run under extreme production constraints, not just in research environments.
Content understanding and embeddings are core to your work. You research and develop information-rich user and ad embeddings using unsupervised and generative approaches, directly improving the quality of predictions across both Playtime and adjoe Ads.
Raises the technical bar around them. You lead architectural debates, mentor junior scientists, and drive the team's research direction without needing a roadmap handed to you.

We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.

What’s in It for You?

At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.

Go Big. Own projects with impact on 770M users and push adtech boundaries.
Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
Be Direct. Solve problems openly and collaborate across teams.
Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.

We welcome applications from people who will contribute to the diversity of our company.

Direkt bewerben

Erweiterte Suche

team lead machine learning Jobs in berlin

Senior ML Research Scientist – AI & Generative Recommendation (m/f/d)

Senior Infrastructure Engineer (f/m/d)

Robotics Engineer - Vision Language Action Model

Robotics Engineer - AI

Senior HR Manager (m/w/d)

Senior Staff Customer Engineer – Automotive AI

(Senior) Consultant (m/w/d) - Pricing

Senior Software Engineer - Energy Markets (m/f/d)

Lead Python Developer (m/w/d)

(Senior) Applied Scientist, Search

Consultant (m/w/d) - Pricing & Sales

Head of Marketing (m/w/d)

Oliver Wyman - Data & Analytics Consulting - Intern (m/f/d) - Berlin

Software Engineer (m/f/d)

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Sr. Robotics Software Engineer, Amazon Robotics

Staff/Principal Software Engineer (Frontend)

AI Product Owner - International Big Data Team (m/w/d)

Senior Pricing Analyst, AWS Monetization

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Ich möchte aktuelle Job-E-Mails für Stellen als team lead machine learning in berlin erhalten

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