Staff ML Research Scientist (m/f/d)

Meyandy LLC; Hamburg; Hybrid; EUR 120.000 - 150.000; Vollzeit

Zusammenfassung

adjoe invites applications for Staff ML Research Scientist to advance generative retrieval and recommender systems at scale in Berlin, with relocation support to Hamburg.

You will own research direction, mentor teams, and translate cutting-edge AI into production-ready infrastructure affecting hundreds of millions of users.

The role requires a PhD and a track record in academia and industry, working across cross-functional partners to push practical ML boundaries.

Qualifikationen

• PhD or equivalent depth in CS, statistics, math or physics.
• Publications in top ML/IR conferences (SIGIR, KDD, NeurIPS, ICLR).
• 5+ years building large-scale recommender systems in AdTech, e-commerce or social.
• Own architectural bets and drive research direction.
• Translate SOTA research into production-ready systems.

Aufgaben

• Mentor senior and mid-level scientists and lead architectural debates.
• Define multi-quarter research agenda and align with engineering/product.
• Translate state-of-the-art research into scalable generative retrieval and ranking systems.

Kenntnisse

PhD in CS/Statistics/Math/Physics

Publications in SIGIR/KDD/NIPS/ICLR

Generative AI research leadership

PyTorch expertise

Large-scale recommender systems

High-concurrency optimization

Ausbildung

PhD or equivalent depth

Tools

Ray/Hugging Face

Trino

Athena

Jobbeschreibung

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 track record of technical mentorship.
• PhD in CS, Statistics, Math, or Physics.
• Publications in SIGIR, KDD, NeurIPS, or ICLR, and 5+ years building large-scale recommender systems in AdTech, e-commerce, or social.
• You’ve owned architectural bets and had accountability for outcomes.
• You set the research direction.
• You identify the highest-leverage problems at the intersection of generative AI and recommendation, define the multi-quarter research agenda, and align engineering and product leadership.
• That means owning how Generative Retrieval, Deep Ranking, and Re-ranking evolve across a stack built on 770 million users’ behavioral data.
• Deep expertise in PyTorch and large-scale model optimization.
• Hands-on with high-concurrency optimization, quantization, and distillation — getting large generative models to run under extreme production constraints, not just in research environments.
• You are the company’s deepest resource on generative recommendation.
• You translate SOTA research into systems adjoe can ship, review architectural decisions across teams, and raise the ML quality bar company-wide.
• When there’s a hard bottleneck, you’re the first call.
• You grow the teams around you.
• You mentor senior and mid-level scientists, lead architectural debates, and drive long-horizon investments without needing a roadmap handed to you.

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.

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

Staff ML Research Scientist (m/f/d) — adjoe, Berlin

<… Staff ML Research Scientist (m/f/d) — adjoe, Berlin.