5 months ago
Base Salary
$190k - $230k/yr
Responsibilities
- Architect, design, and implement ML software systems for deploying and managing models at scale.
- Develop and maintain infrastructure that supports efficient ML operations, including data pipelines and model evaluations.
- Collaborate closely with ML engineers and cross-functional teams for seamless model integration.
- Troubleshoot production issues and enhance system performance and efficiency.
- Create tooling for online and offline evaluation of ML & LLM systems.
Requirements
- 5+ years of experience in ML model deployment and infrastructure in production environments.
- Strong software engineering fundamentals with proficiency in Python and TypeScript.
- Experience in software design for highly available ML systems.
- Strong knowledge of observability, including logging and model performance monitoring.
- Experience with distributed systems and production incident response.
- Comfortable working in ambiguity and driving projects from idea to production.
Benefits
- Beautiful new office at 345 Hudson Street.
- Unlimited PTO.
- 100% paid employee health benefit options.
- Employer funded 401(k) match.
- Competitive parental leave.
- Free lunch and a pantry full of snacks.