Senior Machine Learning Engineer, Operations Research

SpaceX

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$207,000–$218,500 / yr
Posted
56 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $216k
This role $213k
$161k most similar roles pay here $272k

This role pays more than 50% of similar roles. Most pay $177,178–$255,212 — the shaded band above. At the midpoint, this role pays about $213k versus about $216k 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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View all roles at SpaceX

At a glance

TL;DR · Senior Machine Learning Engineer, Operations Research

Join Instacart as a Senior Machine Learning Engineer in Operations Research within the Service Availability & Routing team, where you will leverage combinatorial optimization and AI to solve complex problems like order batching and shopper routing. You’ll collaborate with cross-functional teams to develop and deploy machine learning solutions that enhance operational efficiency and improve the shopping experience at scale. Ideal candidates hold a graduate degree in Operations Research or Industrial Engineering and have 3+ years of industry experience applying ML to real-world challenges using Python, SQL, Pandas, scikit-learn, XGBoost, Keras/TensorFlow, with strong analytical skills and communication abilities.

What you'll do

  • Design and develop machine learning solutions to solve practical challenges in the marketplace.
  • Deploy models and algorithms that enhance Instacart's profitability and shopper experience at scale.
  • Continuously refine and advance algorithms and models to improve operational efficiency.
  • Collaborate with product managers, data scientists, and backend engineers on impactful ML applications.
  • Engage with diverse stakeholders to ensure solutions are well-integrated and aligned with business goals.

What we're looking for

  • Hold a graduate degree in Operations Research or Industrial Engineering.
  • Have 3+ years of industry experience solving real-world problems with machine learning and large datasets.
  • Possess strong programming skills in Python and fluency in data manipulation tools like SQL, Pandas, scikit-learn, XGBoost, Keras/Tensorflow.
  • Demonstrate strong analytical skills and problem-solving ability.
  • Exhibit excellent communication skills to collaborate effectively across diverse teams.

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