Lead Engineer, Machine Learning
San Francisco, CA, US, USA 522169
USD 172K-212K Senior-level Full Time
Tasks
- Architect and engineer production grade AI ML systems
- Automate testing and performance testing
- Build agentic pipelines and RAG systems
- Build monitoring observability and logging tooling
- Collaborate cross functionally to define AI ML capabilities
- Conduct code reviews and enforce test coverage
- Develop and validate evaluate and deploy ML models
- Drive delivery planning and resolve blockers
- Engineer batch and real time model serving
- Establish ML pipelines for data processing and feature engineering
- Implement LLMOps infrastructure
- Mentor ML engineers and data scientists
- Own end to end ML solutions
- Set up A B experimentation
- Write clean code with CI CD integration
Perks/Benefits
- 30 percent merchandise discount
- 401k match
- Access to 24 7 Support
- Disability insurance
- Donation matching
- FSA
- Financial coaching resources
- Flash sale discounts
- Flexible work arrangement
- Free mental health resources
- Gratis Product
- HSA
- Life insurance
- Medical, dental & vision coverage
- Paid time off
- Protected Leave
- Student debt retirement plan
- Tuition reimbursement
- Volunteer opportunities
Skills/Tech-stack
API Design | Agent systems | Batch Processing | CI/CD | Databricks | Distributed Systems | Docker | Feature Stores | Kubernetes | LLMOps | Langchain | Langgraph | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Evaluation | Model Serving | Multi-Agent | Multi-Agent Systems | Observability | Prompt engineering | Python | RAG | Real Time | Real-time Processing | Recommendation Systems | Reinforcement Learning | Supervised Learning | Testing | Time processing | Unsupervised Learning | Vector Databases
Education
N/A
Regions
Countries
States
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