Public Sector GenAI ML Engineer – TS Cleared

Fdetimes; Denver, Honolulu, Washington (CO, HI, District of Columbia); On-site; USD 235,000 - 294,000; Full time

Benefits offered by this job

Health benefits

Dental & Vision coverage

Retirement plan

Learning stipend

Generous PTO

Commuter benefits

Job summary

Scale is seeking a Machine Learning Engineer to advance state-of-the-art ML models in production across government-focused products and datasets. The role emphasizes GenAI, agentic AI, NLP, and CV techniques within a robust internal infrastructure and production APIs.

You will collaborate with product and research teams to prototype ML-driven product enhancements, manage large datasets, and build scalable ML infrastructure to optimize services and outcomes for government customers.

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.
• 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.

Skills

GenAI

Agentic AI

NLP

Deep learning

Computer vision

Algorithms & data structures

Python

TensorFlow/PyTorch

Job description

Scale is seeking a Machine Learning Engineer to advance state-of-the-art ML models in production across government-focused products and datasets. The role emphasizes GenAI, agentic AI, NLP, and CV techniques within a robust internal infrastructure and production APIs.

You will collaborate with product and research teams to prototype ML-driven product enhancements, manage large datasets, and build scalable ML infrastructure to optimize services and outcomes for government customers.