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Senior Machine Learning Engineer II, Fulfillment, Matching and Positioning

2 weeks, 6 days ago
United States
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
AWS C++ Docker Flink GCP Go Kafka Kubernetes Machine Learning Microservices Python Reinforcement Learning SQL
Apply Now
instacart.careers

instacart.careers

Instacart is a leading grocery technology company in North America that works with grocers and retailers to transform how people shop. They partner with over 1,000 national, regional, and local retail banners to facilitate online shopping, delivery, an...

Internet Software & Services
1K-5K
View All Jobs 124

Description

  • Design, implement, and deploy algorithms for order batching, shopper assignment, routing, and marketplace positioning.
  • Own the full model lifecycle from problem formulation and feature development through evaluation, experimentation, rollout, and monitoring.
  • Build low-latency production services in Python and, when needed, C++ or Go that integrate with optimization solvers and cloud infrastructure.
  • Partner with product, operations, engineering, and data science to define roadmaps, success metrics, and measurable business impact.
  • Use experimentation, causal methods, and counterfactual simulation to validate changes and reduce launch risk.
  • Contribute to engineering excellence through code reviews, design documentation, testing, observability, and on-call support.
  • Mentor peers and help raise the technical bar across the team.
  • Translate ambiguous operational problems into scalable optimization and machine learning systems.

Requirements

  • Bachelor’s degree in Computer Science, Operations Research, Electrical Engineering, Applied Mathematics, or a related field, or equivalent practical experience.
  • 5+ years of professional experience building and shipping machine learning and/or optimization systems to production.
  • 3+ years of experience solving large-scale combinatorial optimization problems such as VRP, matching, or scheduling.
  • Experience using solvers such as OR-Tools, Gurobi, or CPLEX with MIP or CP-SAT methods and heuristic approaches.
  • Proficiency in Python and SQL, including production-quality coding, testing, profiling, and code review practices.
  • Hands-on experience deploying models or algorithms as microservices with Docker and Kubernetes on GCP or AWS.
  • Experience operating low-latency, high-throughput decision services targeting sub-second P95 response times.
  • Practical experience with A/B testing or online experimentation from hypothesis to analysis and rollout decisions.
  • Strong collaboration and communication skills with engineering, product, and data science stakeholders.
  • Master’s or PhD in a quantitative field is preferred.
  • Domain experience in logistics, ride-hailing, delivery, or marketplace optimization at scale is preferred.
  • Familiarity with reinforcement learning, contextual bandits, geospatial data, routing APIs, graph algorithms, streaming systems, feature stores, or C++/Go is preferred.

Benefits

  • Highly market-competitive compensation with location-based base pay.
  • Base salary range of $240,000-$253,500 USD for CA, NY, CT, and NJ; $230,000-$243,000 USD for WA; $221,000-$233,000 USD for several other listed states; and $201,000-$212,000 USD for all other states.
  • Eligible for a new hire equity grant and annual refresh grants.
  • Remote work with Instacart’s Flex First policy.
  • Flexible choice of work location, including home, office, or coffee shop, with regular in-person community events.

Interested in this position?

Apply directly on the company website

Apply Now

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