Senior AI Engineer - Reinforcement Learning
Senior AI Engineer - Reinforcement Learning
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Job Description
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
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
Required Experience:
Senior IC
Employment Type
Full-Time
