Senior Machine Learning Engineer II, Fulfillment, Matching and Positioning

SpaceX

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$240,000–$253,500 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $247k
$159k most similar roles pay here $272k

This role pays more than 71% of similar roles. Most pay $174,990–$259,053 — the shaded band above. At the midpoint, this role pays about $247k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About SpaceX

SpaceX designs, manufactures, and launches advanced rockets and spacecraft with the mission of enabling humans to become a multi-planetary species. It operates the Falcon 9, Falcon Heavy, and Starship launch vehicles, as well as the Starlink satellite internet constellation.

SpaceX currently has 604 open roles on FindRole.

Listed pay typically runs $130,000–$155,000 across 440 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer II, Fulfillment, Matching and Positioning

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Join Instacart’s Logistics team as a Senior Machine Learning Engineer II, working closely with the Matching & Positioning team to design and deploy algorithms that optimize order batching, shopper routing, and assignment in real-time. You will develop production-grade solutions using operations research techniques like MIP/CP-SAT and machine learning models, ensuring sub-second latency and high throughput on cloud infrastructure. Key responsibilities include formulating optimization problems, building data pipelines, conducting A/B testing, and deploying microservices with Docker/Kubernetes. Proficiency in Python, SQL, and experience with OR-Tools or similar solvers is essential, alongside strong collaboration skills to work effectively across engineering, product, and data science teams. This role demands expertise in large-scale optimization and a passion for delivering measurable impact on Instacart’s fulfillment efficiency and customer satisfaction.

Skills

Python Kubernetes Docker OR-Tools Gurobi CPLEX MIP CP-SAT A/B testing SQL C++ Go CI/CD AWS GCP

What you'll do

  • Design and implement algorithms for order batching, real-time shopper assignment, routing.
  • Own the full lifecycle of ML models from formulation to deployment in production.
  • Build low-latency services integrating solvers like OR-Tools with cloud infrastructure.
  • Define roadmaps and success metrics with product, operations, and data science teams.
  • Validate changes using experimentation and causal methods for risk mitigation.

What we're looking for

  • 5+ years of professional experience building and shipping ML and optimization systems.
  • Deep expertise in formulating and solving large-scale combinatorial optimization problems.
  • Proficiency in Python, SQL, and deploying algorithms as microservices with Docker/Kubernetes.
  • Experience designing low-latency decision services for high-throughput environments.
  • Strong collaboration and communication skills with cross-functional teams.

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