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Instacart

Senior Machine Learning Engineer, Digital Twin Platform

Instacart · United States - Remote

Posted 27 days ago

or apply directly on Instacart's site. We never take the application ourselves.

Is this posting real?

This role has been open
27 days
Instacart's roles stay open a median of 33 days
Reposted
No
Salary listed
No
0% of Instacart's roles list one
Ghost-job risk at Instacart
moderate
36 stale, 3 reposted of 109 open
Hiring momentum
212 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Instacart's own greenhouse board since 2026-08-03. Full hiring picture for Instacart.

About this role

The Senior Machine Learning Engineer will work on the Digital Twin Platform team at Instacart, focusing on developing and deploying machine learning models to understand and predict inventory levels in real-time across retail locations. This role involves owning the full ML lifecycle, collaborating with various engineering and product teams, and contributing to the core infrastructure that supports inventory data collection and modeling. The position is remote and emphasizes flexibility in work location while tackling complex, high-impact problems.

Our read on this posting3.0out of 5
benefits
2/5
freshness
4/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Instacart as an employer.

What you need

  • 5+ years of experience developing and deploying machine learning models in production environments
  • Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Demonstrated experience with large-scale data pipelines and working with structured and unstructured data at scale
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and familiarity with ML platform tooling for model training, versioning, and serving
  • Bachelor's degree or higher in Computer Science, Machine Learning, Statistics, or a related technical field, or equivalent practical experience

Nice to have

  • Experience working on computer vision, inventory forecasting, demand sensing, or related spatial/temporal modeling problems
  • Familiarity with real-time inference systems and the architectural considerations of serving ML models in low-latency, high-throughput environments
  • Prior experience in a fast-paced, cross-functional environment where you have independently driven projects from conception through production with limited oversight
  • Exposure to retail, supply chain, or e-commerce domains and an understanding of how inventory data flows and is consumed in those contexts
  • Experience collaborating closely with computer vision teams or incorporating vision-based signals into broader ML systems

What you get

  • Highly market-competitive compensation
  • Eligible for a new hire equity grant as well as annual refresh grants
  • Flex First remote work policy

Worth weighing

  • Base pay varies significantly by location, with specific ranges listed for different states
  • No specific mention of additional benefits beyond compensation and equity grants
  • Role involves ambiguity and changing priorities, which may not suit all candidates

Summarised from Instacart's posting. Read the full original.

Listed by Instacart on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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