Senior Machine Learning Engineer, Public Sector · Scale

Sat, 18 Apr 2026 15:56:56 GMT
Engineering

Scale · San Francisco, CA; New York, NY; Washington, DC · $216,300-$300,300 USD · onsite

We are seeking a Senior Machine Learning Engineer to join our Public Sector team. As a Senior Machine Learning Engineer, you will leverage techniques in generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments.

Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. You will take state-of-the-art models developed internally and from the community, use them in production to solve problems for our customers and taskers.

Key responsibilities include:

Improving and maintaining production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics

Collaborating with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines

Working with massive datasets to develop both generic models as well as fine-tune models for specific products

Building scalable machine learning infrastructure to automate and optimize our ML services

Serving as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations

Ideal candidates will have extensive experience using computer vision, deep learning, and deep reinforcement learning, or natural language processing in a production environment. Solid background in algorithms, data structures, and object-oriented programming is also required.

Nice to haves include a graduate degree in Computer Science, Machine Learning, or Artificial Intelligence specialization, experience working with cloud platforms, and familiarity with ML evaluation frameworks and agentic model design.

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, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

You'll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.