Research Engineering Lead, Post-training Evaluation
Description For Research Engineering Lead, Post-training Evaluation
OpenAI is seeking a Research Engineering Lead for Post-training Evaluation to join our team in San Francisco. This role offers an exciting opportunity to lead and innovate in the field of AI research and development.
As a Research Engineering Lead, you will be responsible for overseeing the post-training evaluation of AI models, a critical step in ensuring the effectiveness and safety of our AI systems. You'll work closely with cross-functional teams, including researchers, engineers, and product managers, to develop and implement robust evaluation methodologies.
Key responsibilities include:
- Leading the design and implementation of post-training evaluation frameworks for complex AI models
- Collaborating with research teams to identify key performance metrics and potential risks in AI systems
- Developing innovative techniques to assess model behavior, safety, and alignment with intended goals
- Managing a team of engineers and researchers, fostering a culture of excellence and continuous improvement
- Staying at the forefront of AI safety and evaluation research, incorporating new findings into our processes
The ideal candidate will have:
- 7+ years of relevant experience in machine learning, AI research, or a related field
- Strong leadership skills with experience managing technical teams
- Deep understanding of machine learning algorithms, neural networks, and AI safety considerations
- Excellent programming skills, particularly in languages commonly used in AI research (e.g., Python, PyTorch, TensorFlow)
- Track record of publications or contributions to the field of AI research and evaluation
- Ability to work in a fast-paced, collaborative environment
At OpenAI, we offer a competitive compensation package, including a salary range of $360K – $440K, generous equity, and comprehensive benefits. Our hybrid work model requires presence in our San Francisco HQ for 3 days per week, allowing for a balance of in-person collaboration and remote work flexibility.
Join us in shaping the future of AI and ensuring its safe and beneficial development. Apply now to be part of a team that's pushing the boundaries of what's possible in artificial intelligence.
Responsibilities For Research Engineering Lead, Post-training Evaluation
- Leading the design and implementation of post-training evaluation frameworks for complex AI models
- Collaborating with research teams to identify key performance metrics and potential risks in AI systems
- Developing innovative techniques to assess model behavior, safety, and alignment with intended goals
- Managing a team of engineers and researchers
- Staying at the forefront of AI safety and evaluation research
Requirements For Research Engineering Lead, Post-training Evaluation
- 7+ years of relevant experience in machine learning, AI research, or related field
- Strong leadership skills with experience managing technical teams
- Deep understanding of machine learning algorithms, neural networks, and AI safety considerations
- Excellent programming skills, particularly in languages used in AI research
- Track record of publications or contributions to AI research and evaluation
- Ability to work in a fast-paced, collaborative environment
Benefits For Research Engineering Lead, Post-training Evaluation
- Medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- 401(k) plan with 50% matching
- Unlimited time off and 13 company holidays per year
- Paid parental leave (20 weeks) and family-planning support
- Annual learning & development stipend ($1,500 per year)
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