ML Research Scientist

Svitla Systems, Inc.; Berlin; On-site; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Flexible workspace

Bonuses for talks

Generous time off

Personalized learning

Tech webinars

Team events

Job summary

Svitla Systems, Inc. is seeking an ML Research Scientist for a full-time role based in Berlin or Western Poland. The position is hybrid with Berlin office visits 2-3 times per week.

You will lead research at the intersection of generative AI and recommendation, mentor senior and mid-level scientists, and drive production-ready systems that leverage large-scale data and PyTorch-based models.

Qualifications

• PhD or equivalent research depth with mentorship track record.
• Publications in top conferences such as SIGIR, KDD, NeurIPS or ICLR.
• 5+ years building large-scale recommender systems in AdTech, e-commerce, or social.
• Deep expertise in PyTorch and large-scale model optimization.
• Hands-on with high-concurrency optimization, quantization and distillation for production constraints.

Responsibilities

• Identify high-leverage problems at the intersection of generative AI and recommendation.
• Own Generative Retrieval, Deep Ranking, and Re-ranking evolution across a large data stack.
• Translate research into ship-ready systems and review architectural decisions.
• Mentor senior and mid-level scientists and drive long-horizon investments.

Skills

PhD in CS/Statistics/Math/Physics

Publications in SIGIR/KDD/NIPS/ICLR

5+ years recommender systems

PyTorch

High-concurrency optimization

Quantization and distillation

Mentorship experience

Education

PhD or equivalent in CS/Statistics/Math/Physics

Tools

PyTorch

Job description

Svitla Systems Inc. is looking for an ML Research Scientist for a full-time position (40 hours per week) in Berlin or in Western Poland.

The team is based in Berlin - hybrid work; office visits 2-3 times/week IN BERLIN required.

Requirements

• 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
• 5+ years building large-scale recommender systems in AdTech, e-commerce, or social.
• 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.

Responsibilities

• 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
• Own how Generative Retrieval, Deep Ranking, and Re-ranking evolve across a stack built on 770 million users' behavioral data.
• Translate SOTA research into systems that can ship, review architectural decisions across teams, and raise the ML quality bar company-wide
• Mentor senior and mid-level scientists, lead architectural debates, and drive long-horizon investments without needing a roadmap handed to you.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, and other activities.
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalized learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community!

Why join Svitla

Svitla Systems is a global digital solutions company headquartered in the U.S. and operating across the Americas, Europe, Asia, and APAC. Since 2003, we have served a wide range of clients - from innovative start-ups to Fortune 500 companies. Our success is built on partnership. By integrating seamlessly with clients' teams, we create lasting collaborations that drive real results. We are strong advocates of workplace flexibility, remote culture, individual approach to professional and personal growth.

Our global mission is to build a business that contributes to wellbeing of our partners, personnel, and their families, improves our communities, and makes a lasting difference in the world. Together, we are coding a brighter tomorrow - and living it.