Related skills
docker terraform python kubernetes fastapi๐ Description
- Design and build user-facing ML features that harness LLMs and generative AI to unlock new product capabilities
- Partner with product, design, and ML research to prototype ML experiences
- Own architecture and implementation strategy for applied ML systems with latency considerations
- Build scalable services and APIs that bring model outputs to users in trustworthy and intuitive ways
- Collaborate across teams to ensure ML deployments meet safety and performance standards
- Establish and evangelize best practices for prompt design and model evaluation across the org
๐ฏ Requirements
- 4+ years software engineering, 2+ years on ML-driven products
- Proven ability to lead complex initiatives across engineering, product, and research
- Strong Python backend (FastAPI/Flask) with Kubernetes, Docker, Terraform
- Experience integrating LLMs/ML into production APIs and apps
- Excellent communication and a collaborative, product-minded approach
- System design focus on latency tradeoffs and user impact for ML features
๐ Benefits
- Competitive pay with base, bonus, and quarterly equity
- 401(k) with Upstart matching up to $15,000
- ESPP with discounted stock options
- Medical, dental, and vision coverage
- HSA contributions from Upstart
- Paid time off, parental leave, and life/disability coverage
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