Normalcomputing
Research Engineer, Domain Scaling
- Confirmed live in the last 24 hours
- $200k–$400k
- Mid level
- Full-time
- Remote · New York City
- Added 1 month ago
About this role
Normal Computing is seeking a Research Engineer to join their Domain Scaling team and enhance their AI Agents' capabilities within the chip engineering domain. This role involves a blend of applied research and hands-on data work, focusing on building RL environments and data strategies to improve model performance. The ideal candidate will possess experience with large language models, reinforcement learning, and vendor management.
What you'll do
- Develop and execute data strategies for knowledge work verticals.
- Manage relationships with external vendors for data sourcing and evaluation.
- Collaborate with domain experts to design data pipelines.
- Design and improve QA frameworks to prevent reward hacking.
- Conduct generalization experiments to measure model improvements.
- Partner with AI researchers and product teams to translate goals into training environments.
What they're looking for
- Reinforcement Learning
- Large Language Models (LLMs)
- Reward Design
- Data Curation
- Cross-Functional Collaboration
- RL Environments
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Normalcomputing
Likely interview questions
- Describe your experience with reward design for reinforcement learning models. What challenges have you encountered, and how did you address them?
- How would you approach identifying high-value tasks for RL training in the chip engineering domain?