Senior Machine Learning Engineer, Public Sector
Scale AI · Denver, CO; Honolulu, HI; Washington, DC · Public Sector Engineering · listed September 10, 2026
The shape of it
Seniority
Senior
Experience asked
5+ years
Where
Not stated
Stated pay
$235,200 – $294,000 USD
Requirements listed
8
Length
1,160 words
In the posting’s own words
As a Senior MLE, you'll have design authority over a capability area - the final say on the patterns used within your team, and the responsibility to make those patterns work under real constraints: classified environments, limited compute, and correctness requirements that don't bend.
What it asks for · 8
- Comfortable with light travel (approximately 10%) for customer interaction and team needs
- 5+ 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
- A track record of owning architectural decisions and defending the tradeoffs behind them - not just implementing a design handed to you
- Strong programming skills in Python, experience in PyTorch or Tensorflow
- Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
- Experience with computer vision, generative AI models, large language models, or agentic systems
- Familiarity with ML evaluation frameworks and agentic model design
Also a plus
- Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
- Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments
- Experience with computer vision, generative AI models, large language models, or agentic systems
- Familiarity with ML evaluation frameworks and agentic model design
- Experience deploying ML in classified, air-gapped, or IL5+ environments
- Geospatial or GEOINT experience
- Inference optimization experience
- Fine-tuning experience: SFT, RL, or embedding models
Degree language
- Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization
Tools and skills named
Models & research
- Machine learning11×
- Computer vision4×
- LLM3×
- Reinforcement learning3×
- Deep learning
- Fine-tuning
- Inference
- NLP
- PyTorch
- TensorFlow
Ways of working
- Mentorship2×
- Cross-functional
Cloud & infra
- AWS
- GCP
Security & compliance
- Security2×
Languages
- Python
Words the posting leans on
- learning12×
- experience11×
- models10×
- machine learning7×
- production7×
- agentic6×
- engineer6×
- evaluation6×
- systems6×
- agent5×
- design5×
- build4×
- computer vision4×
- deploying4×
- problems4×
- product4×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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