ML Engineer – GenAI & Agentic AI for Government

Latitude; Honolulu (HI); On-site; USD 196,000 - 245,000; Full time

Benefits offered by this job

Health, dental, vision coverage

Retirement benefits

Learning and development stipend

Generous PTO

Commuter stipend

Job summary

Scale is seeking a Machine Learning Engineer in Washington, DC to deploy generative AI and computer vision models in production. Work spans LLMs, agent frameworks, retrieval pipelines, and evaluation tools with mission-critical government partners.

You will partner with product and research to prototype ML-driven enhancements, handle massive data, and build scalable ML infrastructure while traveling ~10% for customer interactions and team needs. Active TS clearance required.

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

Deep Learning

Computer Vision

Python

Algorithms

Data Structures

OO Programming

TensorFlow

PyTorch

Tools

TensorFlow

PyTorch

Job description

Scale is seeking a Machine Learning Engineer in Washington, DC to deploy generative AI and computer vision models in production. Work spans LLMs, agent frameworks, retrieval pipelines, and evaluation tools with mission-critical government partners.

You will partner with product and research to prototype ML-driven enhancements, handle massive data, and build scalable ML infrastructure while traveling ~10% for customer interactions and team needs. Active TS clearance required.