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Scale AI

Senior Machine Learning Engineer, Public Sector

Scale AI · Washington, DC

Posted about 2 months ago

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

Is this posting real?

This role has been open
66 days
Scale AI's roles stay open a median of 66 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
192 stale, 5 reposted of 217 open
Hiring momentum
270 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

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

About this role

As a Machine Learning Engineer in the Public Sector at Scale, you will leverage advanced techniques in generative AI, computer vision, and reinforcement learning to enhance the company's products and customer experiences. Your role will involve deploying state-of-the-art models, improving production models, collaborating with product teams, and building scalable ML infrastructure. Additionally, you will work with large datasets and serve as a representative for machine learning techniques across various teams.

Our read on this posting2.8out of 5
benefits
3/5
freshness
1/5
career value
5/5
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 Scale AI as an employer.

What you need

  • 2+ years of experience building and deploying applied ML systems in production environments
  • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment
  • Solid background in algorithms, data structures, and object-oriented programming
  • Strong programming skills in Python, experience in Tensorflow or PyTorch
  • Active TS security clearance

Nice to have

  • Experience deploying software into environments you can't reach from your laptop - on-prem, edge, air-gapped, or otherwise restricted networks
  • Any prior exposure to government or defense work: military or civilian service, a cleared internship, or time at a federal contractor
  • Hands-on fine-tuning of open-weight models - LoRA/PEFT, instruction tuning, or training embedding models, at work or on your own
  • Having written evaluations for a system whose output isn't deterministic: benchmarks, LLM judges, or a regression suite that caught something real
  • Experience with geospatial data or maps - GIS tooling, spatial reference systems, or imagery

What you get

  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential eligibility for a commuter stipend
  • Equity-based compensation

Worth weighing

  • No salary listed for locations other than Washington DC
  • Role requires active TS security clearance
  • Fast-paced environment with light travel (approximately 10%)

Summarised from Scale AI's posting. Read the full original.

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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