Public Sector ML Engineer — GenAI & Vision

Scale AI; Denver (CO); On-site; USD 196,000 - 245,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI is hiring a Machine Learning Engineer in Washington DC to deploy cutting-edge GenAI and computer vision models in production environments, leveraging internal data and infrastructure. You will work across multilingual models, agent frameworks, and evaluation tools, with a focus on robust, scalable ML systems for government and enterprise customers.

The role requires 2+ years building production ML, strong Python and PyTorch/TensorFlow skills, and willingness to travel ~10% for customer

Qualifications

• 2+ years of experience building and deploying applied ML systems in production environments.
• Extensive experience with GenAI, Agentic AI, NLP, deep learning, deep reinforcement learning, or computer vision in production.
• Solid background in algorithms, data structures, and object‑oriented programming.
• Strong programming skills in Python, experience with TensorFlow or PyTorch.

Responsibilities

• Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.
• Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics.
• Collaborate with product and research teams to identify and prototype ML‑driven product enhancements, including for upcoming product lines.
• Work with massive datasets to develop both generic models as well as fine tune models for specific products.
• Build scalable machine learning infrastructure to automate and optimise our ML services.
• Serve as a cross‑functional representative and advocate for machine learning techniques across engineering and product organisations.
• 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

NLP

Deep learning

Deep RL

Computer vision

Python

TensorFlow

PyTorch

Algorithms

Tools

Python tooling

Job description

Scale AI is hiring a Machine Learning Engineer in Washington DC to deploy cutting-edge GenAI and computer vision models in production environments, leveraging internal data and infrastructure. You will work across multilingual models, agent frameworks, and evaluation tools, with a focus on robust, scalable ML systems for government and enterprise customers.

The role requires 2+ years building production ML, strong Python and PyTorch/TensorFlow skills, and willingness to travel ~10% for customer