About the roleAs a Lead Software Engineer working on AI systems, you will play a foundational role in research, experimentation and rapid improvement of AI systems towards building a capable, reliable AI automation platform, while also raising the technical bar for the engineers around you. The platform is used by organizations worldwide to deploy and scale executable AI automations in mission critical production environments. You are expected to have deep proficiency in the fundamentals of software engineering, a willingness to pick up new concepts as needed, and a proven ability to drive technical projects and set technical direction in ambitious environments.
What You'll Do- Design experiments and test ideas to optimize key internal AI benchmarks
- Design and improve evaluation frameworks to accelerate the speed and direction of experimentation
- Train, fine-tune, and optimize machine learning models. Perform rigorous evaluation and testing to ensure model accuracy, generalization, and performance.
- Collaborate and contribute on the core product development to deliver higher platform capabilities
- Set up observability and monitoring systems to safety check model behavior in critical settings
- Set technical direction across experimentation and evaluation work, raising the bar on rigor, tooling, and best practices for the team
- Mentor and unblock other engineers, acting as a senior voice on ambiguous technical tradeoffs
What We're Looking For- 5+ years of proven track record shipping high-quality code in challenging projects
- A track record of being the senior, steady hand on a team, comfortable operating with less oversight and setting the bar for others
- Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field
- Solid fundamentals in algorithms, data structures, system design
- Attention to detail and a first-principles thinking towards real world deployment of intelligent systems
- Experience shipping ML models to production
Bonus- Previous experience working with distributed computing systems in production
