Senior AI Engineer - Reinforcement Learning

Your responsibilities:

· Prototyping ideas and evaluating how they would fit into our product vision.

· Maintaining a balance between cutting-edge research and practical applications, producing deliverables and products that set industry benchmarks.

· Stay updated on the latest advancements in RL, NLP and machine learning, ensuring our solutions remain at the forefront of technology.

· Model Development and Fine-tuning: Implement, refine, and fine-tune state-of-the-art model architectures, ensuring they perform in real-world scenarios. Design and implement RL algorithms to fine-tune LLMs, focusing on improving performance in real-world applications.

· Documentation and Reporting: Maintain detailed records of AI experiments, findings, and methodologies, communicating complex insights to varied audiences.

Your profile:

· You care about making something people want. You want to ship something that will bring value to our users. You want to deliver AI solutions end-to-end and not end on building a prototype.

· Degree in Computer Science or a related field.

· Demonstrated experience in developing and deploying RL algorithms, preferably in the context of natural language processing or LLMs (e.g. RL from human or AI feedback, LLM alignment, DPO, PPO, multi-agent systems).

· Familiarity with popular NLP tools and frameworks such as PyTorch or HF transformers. Prior experience with distributed training tools like Ray is a plus.

· In-depth knowledge of transformer architectures.

· Experience with research organizations and structured work.

Nice if you have:

· Experience with automation of prompt engineering semantic search and multi-modal models. Experience with human in the loop systems.

· Experience with agentic systems

· PhD in Computer Science or a related field.

· Publication track record.

What you can expect from us:

• Be part of an AI revolution!

• 30 days of paid vacation

• Access to a variety of fitness & wellness offerings via Wellhub

• Mental health support through nilo.health

• Substantially subsidized company pension plan for your future security

• Subsidized Germany-wide transportation ticket

• Budget for additional technical equipment

• Flexible working hours and a hybrid working model for better work-life balance

• Virtual Stock Option Plan