Principal Applied Scientist

This is a fully remote position, open to applicants in Germany.

📋 Description

• Define and spearhead applied AI projects across agent systems, evaluation of LLMs, and optimization of models.

• Take full ownership of complex problem spaces from inception to production impact, including framing and experimentation.

• Create and execute evaluation and benchmarking frameworks, leveraging existing industry standards and, when necessary, establishing new ones.

• Propel innovation in agentic systems, focusing on areas such as routing, memory, and context engineering.

• Develop and assess new methodologies (e.g., model combinations, fine-tuning techniques, or open-weight models).

• Convert research findings into production-ready solutions while collaborating closely with engineering teams.

• Serve as a technical authority and multiplier by mentoring others and establishing best practices.

• Establish and lead the Applied Science guild to promote knowledge sharing and elevate standards across teams.

• Influence product and technical strategies by identifying opportunities where applied science can deliver significant value.

⛳️ Requirements

• Over 12 years of experience in Applied Machine Learning, Applied Science, or a related domain, with a proven history of deploying ML/AI systems in production.

• Familiarity with agent-based systems or multi-step workflows involving LLMs.

• Strong and recent experience with LLMs and Generative AI systems, preferably in production settings.

• Proven capability to manage and drive complex problem spaces from initial framing to achieving measurable outcomes.

• In-depth knowledge of evaluation methodologies, benchmarking, and model performance analysis, including human-in-the-loop strategies.

• Practical technical expertise, capable of prototyping, experimenting, and delivering solutions in partnership with engineering teams.

• Experience with production systems, balancing speed, quality, and scalability effectively.

• Demonstrated technical leadership and influence, with a background in shaping direction, mentoring others, or leading cross-team initiatives.

• Ability to function at both strategic and execution levels, linking long-term vision with everyday decisions.

• Excellent communication skills, with the capability to clearly convey ideas and sway both technical and non-technical stakeholders.

• Evidence of broader impact (e.g., published work, open-source contributions, internal initiatives, or industry influence) is advantageous.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Remote work options