Public Sector ML Engineer: Agentic AI & LLMs (TS)

Scale; Denver, Honolulu, Washington (CO, HI, District of Columbia); On-site; USD 196,000 - 245,000; Full time

Benefits offered by this job

Health, dental and vision coverage

Equity-based compensation

Retirement benefits

Learning & development stipend

Generous PTO

Job summary

Scale is seeking a Machine Learning Engineer for the Public Sector role based in Washington DC to deploy cutting-edge models in government systems. You will leverage GenAI, computer vision, and agentic AI within Scale's robust data infrastructure to deliver improvements for customers and partners.

You will collaborate with product and research teams, work with massive datasets, and build scalable ML infrastructure while traveling ~10% for customer interactions and team needs.

Qualifications

• 2+ 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.
• Solid background in algorithms, data structures, and object-oriented programming.
• Strong programming skills in Python, experience in 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 optimize our ML services
• 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

NLP

Computer Vision

Reinforcement Learning

Python

PyTorch

TensorFlow

Tools

TensorFlow

PyTorch

Python

Job description

Scale is seeking a Machine Learning Engineer for the Public Sector role based in Washington DC to deploy cutting-edge models in government systems. You will leverage GenAI, computer vision, and agentic AI within Scale's robust data infrastructure to deliver improvements for customers and partners.

You will collaborate with product and research teams, work with massive datasets, and build scalable ML infrastructure while traveling ~10% for customer interactions and team needs.