Senior ML Engineer: Public Sector GenAI & Agents (TS Clear)

Scale AI; Honolulu (HI); On-site; USD 235,000 - 294,000; Full time

Job summary

Scale AI is seeking a Senior Machine Learning Engineer to own end-to-end agent capabilities for government-focused systems, from architecture to production evaluation. The role involves GenAI, agentic AI, computer vision, and reinforcement learning in secure, production environments.

As a senior engineer, you will shape patterns, mentor teammates, and collaborate with product and research teams while balancing security, compute limits, and rigorous evaluation. Travel ~10% may be required.

Qualifications

• 5+ years building and deploying ML systems in production.
• Experience with GenAI, agentic AI, NLP, deep learning, or CV.
• Proven architectural ownership and tradeoff defense.
• Experience shipping agentic systems with real production traffic.
• Strong Python programming; PyTorch or TensorFlow.

Responsibilities

• Own the design and delivery of agent capabilities end to end – architecture, implementation, and the evaluation that proves they work.
• Define net-new patterns in problem spaces with no established approach, propose them to the wider team, and lead the work to build them.
• Take state-of-the-art models developed internally and from the community and put them into production to solve problems for our customers and taskers.
• Improve and maintain production models and agents through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics.
• Build agent-level evaluation benchmarks, LLM judges, and verifiers – and use it to hillclimb performance rather than just report on it.
• Partner with product and research teams to scope and shape high-impact initiatives, including for upcoming product lines.
• Build scalable machine learning infrastructure to automate and optimize our ML services.
• Work directly with government users and subject-matter experts, and translate what you learn into technical direction.
• Act as a force multiplier and a primary reviewer for your team, mentoring at least one engineer, and your manager's go-to on feasibility questions.
• Communicate technical tradeoffs clearly to non-technical stakeholders.
• Treat security and compliance as design constraints to engineer around rather than blockers to route past.
• Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations.
• Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment.
• Comfortable with light travel (approximately 10%) for customer interaction and team needs.

Skills

GenAI/Agentic AI

Python

PyTorch/TensorFlow

Production ML systems

Computer Vision / NLP / RL

Education

Advanced degree in CS/ML (MS/PhD)

Tools

AWS

GCP

Production ML tooling

Job description

Scale AI is seeking a Senior Machine Learning Engineer to own end-to-end agent capabilities for government-focused systems, from architecture to production evaluation. The role involves GenAI, agentic AI, computer vision, and reinforcement learning in secure, production environments.

As a senior engineer, you will shape patterns, mentor teammates, and collaborate with product and research teams while balancing security, compute limits, and rigorous evaluation. Travel ~10% may be required.