Rai

Machine Learning Engineer (Robotics and AI Institute LLC):

Rai · Cambridge, MA

Posted 7 days ago · $186,160 to $237,900

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

Is this posting real?

This role has been open
7 days
Rai's roles stay open a median of 16 days
Reposted
No
Salary listed
Yes
20% of Rai's roles list one
Ghost-job risk at Rai
low
0 stale, 0 reposted of 5 open
Hiring momentum
7 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 Rai's own lever board since 2026-08-04. Full hiring picture for Rai.

About this role

The Machine Learning Engineer at Robotics and AI Institute will design and develop software for robotic applications, focusing on improving AI capabilities. Daily tasks include architecting scalable infrastructures for model training, deploying machine learning models, and refining ML pipelines. The role also involves collaboration with research and engineering teams to implement robust model architectures and maintain high code quality through peer reviews.

Our read on this posting4.2out of 5
benefits
1/5
freshness
5/5
career value
5/5
role clarity
5/5
pay transparency
5/5

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 Rai as an employer.

What you need

  • Master's degree in Computer Science, Robotics Engineering, or a closely related discipline
  • 4 years of experience in a machine learning-related occupation
  • 4 years of experience utilizing C++ or Python for high performance machine learning models
  • 4 years of experience with git, issue tracking, CI/CD, and modern software engineering practices
  • 4 years of experience using machine learning algorithms like Linear and Logistic regressions, Decision tree, Naive Bayes, KNN, K-means, and Random forest
  • 4 years of experience with Machine Learning Ops including model versioning and deployment

Worth weighing

  • Salary range provided is quite specific, indicating a well-defined compensation structure.
  • The role requires extensive experience across multiple areas, which may be challenging for some candidates.
  • Focus on both cloud and on-prem infrastructure may require adaptability to different environments.

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

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

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