Senior Machine Learning Engineer II, Fulfillment, Matching and Positioning
Related skills
docker sql python kubernetes go📋 Description
- Design and deploy optimization for order batching and shopper routing.
- Build low-latency Python services; use C++/Go when needed; connect to solvers.
- Own model lifecycle: data pipelines, offline eval, AB testing, monitoring.
- Collaborate with product, operations and data science on roadmaps and metrics.
- Use experimentation and counterfactual replay to validate changes.
- Mentor peers and participate in on-call rotation.
🎯 Requirements
- 5+ years shipping ML/optimization in production.
- 3+ years solving large-scale combinatorial problems with OR-Tools, Gurobi, or CPLEX.
- Proficiency in Python and SQL with production-grade code.
- Deploy algorithms as microservices with Docker and Kubernetes on cloud.
- Design low-latency decision services in high-throughput systems.
- Practical experience with A/B testing or online experimentation platforms.
🎁 Benefits
- Remote-friendly policy (Flex First).
- Equity grants for new hires and annual refresh grants.
- Access to Instacart benefits offerings.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!