Senior Machine Learning Engineer, Public Sector

• 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
• Experience shipping agentic systems with real production traffic and evaluation rigor, rather than prototypes or demos
• Solid background in algorithms, data structures, and object-oriented programming
• Strong programming skills in Python, experience in PyTorch or Tensorflow
• Experience mentoring or reviewing the work of other engineers

Nice to Haves:

• 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

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC is:

$235,200 — $294,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.

This allows us to ensure a fair and thorough evaluation of all applicants.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions.

Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.

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We are expanding our team to accelerate the development of AI applications.

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