Senior ML Engineer: Agentic AI for Production Systems

Scaleai; Denver (CO); On-site; USD 235,000 - 294,000; Full time

Job summary

Scale is seeking a Senior Machine Learning Engineer to own the design and delivery of agentic AI capabilities, from architecture to production, in secure environments. You will work on generative AI, agentic systems, and computer vision for government and defense applications, with constraints such as classified environments and limited compute.

You will mentor engineers, review feasibility, and partner with product and research teams.

Qualifications

• 5+ years building and deploying ML systems in production environments.
• GenAI, Agentic AI, NLP, deep RL, or computer vision in production.
• Own architectural decisions and defend tradeoffs.
• Experience shipping agentic systems with production traffic and evaluation.
• Strong programming in Python; PyTorch or TensorFlow experience.
• Mentoring or reviewing other engineers.

Responsibilities

• Own design and delivery of agent capabilities end to end.
• Define new patterns in uncharted problem spaces and lead the work.
• Put state-of-the-art models into production to solve customer problems.
• Improve and maintain production models and agents through retraining and updates.
• Build agent evaluation benchmarks, LLM judges, and verifiers.
• Collaborate with product and research to scope high-impact initiatives.
• Build scalable ML infrastructure to automate ML services.
• Work with government users and translate learnings into technical direction.
• Be a technical reviewer and mentor for the team; address feasibility questions.
• Communicate tradeoffs clearly to non-technical stakeholders.
• Treat security/compliance as design constraints to engineer around.
• Represent ML across engineering and product teams.
• Adapt quickly to new tech and manage multiple priorities.

Skills

Applied ML systems

Python

Mentoring engineers

Architectural decisions

Production traffic

Tradeoff reasoning

Education

Graduate degree in CS/ML/AI

Tools

PyTorch

TensorFlow

AWS

GCP

Job description

Scale is seeking a Senior Machine Learning Engineer to own the design and delivery of agentic AI capabilities, from architecture to production, in secure environments. You will work on generative AI, agentic systems, and computer vision for government and defense applications, with constraints such as classified environments and limited compute.

You will mentor engineers, review feasibility, and partner with product and research teams.