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Senior Machine Learning Engineer, Operations Research

Location
United States - Remote
Compensation
$173k–$218.5k/yr
Level
senior
Type
full time · Remote

Posted by employer 6 months ago

First seen on Joblaze 6 months ago

Last verified on the company career page 1 day ago

Requirements

Experience
3+ years
Education
Master's degree

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options Remote Work

Joblaze insights

  • Listed about 6 months ago — first seen on Joblaze April 17, 2026. Last confirmed on Instacart's careers page October 29, 2026.
  • Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
  • Starts above 31% of 204 comparable senior ai/ml roles in United States that list Python we track (median $182,000 across 70 companies). See Python salary trends
  • Python appears in 53.2% of 551 comparable senior ai/ml roles in United States; Keras appears in 0.4% of 551 comparable senior ai/ml roles in United States.

Quick facts

Is the Senior Machine Learning Engineer, Operations Research role remote?
Yes — Instacart lists this as a fully remote position.
What's the salary range?
Instacart lists $173,000–$218,500 for this role.
How much experience is required?
At least 3 years of relevant experience for this Senior Machine Learning Engineer, Operations Research role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Keras, Python, SQL, TensorFlow, XGBoost, pandas.
What seniority level is this role?
Instacart targets senior candidates for this position.
Is this full-time or contract?
Full-time for this Senior Machine Learning Engineer, Operations Research role at Instacart.

From the original posting

We're transforming the grocery industry

Overview:

We are looking for a Senior Machine Learning Engineer with a strong Operations Research background to join the Service Availability & Routing team within Instacart's Logistics organization. In this role, you will work at the intersection of combinatorial optimization, mathematical programming, and AI to solve high-impact problems in the fulfillment space — including order batching, shopper routing, service availability prediction, and real-time assignment. You'll partner closely with engineering, product, and data science to ship models and algorithms that directly influence Instacart's profitability and shopper experience at scale.

The Logistics & ML group is responsible for the intelligence and execution behind Instacart’s fulfillment system. The team optimizes a multi-sided marketplace to ensure customers get their orders on-time and in high quality, shoppers get efficient and fulfilling work, and retailers and consumer brands get reasonable business. The team tackles hard problems in a variety of spaces, such as matching, pricing, and geospatial, as well as foundational problems executing on a high throughput system with dynamic data.

About the Job:

  • Design, develop, and deploy machine learning solutions to tackle practical challenges in the marketplace.
  • Collaborate closely with product managers, data scientists, and backend engineers to deeply understand business needs and create impactful ML applications.
  • Actively engage with diverse stakeholders to ensure that solutions are well-integrated and aligned with business goals.
  • Push the envelope on our operational efficiency by continually refining and advancing our algorithms and models.



About You:

Minimum Qualifications:

  • 3+ years of industry experience using machine learning to solve real-world problems with large datasets
  • Have strong programming skills in Python and fluency in data manipulation (SQL, Pandas) and Machine Learning (scikit-learn, XGBoost, Keras/Tensorflow) tools
  • Have strong analytical skills and problem-solving ability
  • Are a strong communicator who can collaborate with diverse stakeholders across all levels
  • Graduate degree (masters or PhD) in Operations Research or Industrial Engineering or closely related field

Preferred Qualifications:

  • Knowledge of deep learning frameworks and methodologies
  • Experience in applying machine learning and optimization techniques to solve marketplace problems


#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ
$207,000—$218,500 USD
WA
$198,000—$209,000 USD
OR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI
$190,000—$205,000 USD
All other states
$173,000—$182,500 USD

Standard company text repeated across Instacart's postings is omitted here.

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