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Rubrik Job Board

Senior Machine Learning Engineer

Rubrik Job Board · Palo Alto, CA

Posted about 3 months ago

or apply directly on Rubrik Job Board's site. We never take the application ourselves.

Is this posting real?

This role has been open
80 days
Rubrik Job Board's roles stay open a median of 70 days
Reposted
No
Salary listed
No
0% of Rubrik Job Board's roles list one
Ghost-job risk at Rubrik Job Board
high
138 stale, 7 reposted of 143 open
Hiring momentum
208 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

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

About this role

As a Senior Machine Learning Engineer on the SAGE team at Rubrik, you will be responsible for the end-to-end lifecycle of small language models, including data curation, model training, and deployment for real-time AI governance. Your work will involve optimizing model serving infrastructure, building synthetic data pipelines, and collaborating cross-functionally to translate customer requirements into modeling problems. The role emphasizes rapid deployment and continuous improvement of models that ensure AI safety and governance in production environments.

Our read on this posting2.4out of 5
benefits
2/5
freshness
1/5
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 Rubrik Job Board as an employer.

What you need

  • Bachelor's degree (or higher) in Computer Science, Machine Learning, Computer Engineering, Statistics, or a closely related technical field
  • 2+ years of professional ML experience with end-to-end production ownership
  • Proficiency in Python and PyTorch (or equivalent)
  • Hands-on experience training, fine-tuning, or distilling language models or classifiers in a production setting
  • Production experience with serving frameworks (vLLM, SGLang, TensorRT-LLM, or equivalent)
  • Experience designing closed-loop ML systems

Nice to have

  • Deep background in AI safety and red-teaming
  • Expertise in model evaluation methodology
  • Experience with context-fusion and retrieval systems
  • Production experience with low-latency inference for streaming or safety-critical request paths
  • Mastery of label-efficient training and data mining

What you get

  • Base salary range of $188,500 — $282,700 USD
  • Bonus potential
  • Equity
  • Benefits

Worth weighing

  • No specific mention of remote work options
  • Role involves high-stakes decision-making with customer-visible consequences
  • Focus on specialized small language models may limit exposure to broader ML frameworks

Summarised from Rubrik Job Board's posting. Read the full original.

Listed by Rubrik Job Board on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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