ML Engineer – GenAI & Agentic Systems (Public Sector, TS)

FDE Times; Honolulu (HI); 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 in Washington DC is seeking a Machine Learning Engineer to advance production ML systems, including GenAI and computer vision, for public sector applications. You will work across teams to deploy models, handle large datasets, and build scalable ML infrastructure while navigating security requirements and 10% travel.

The role requires a TS security clearance and offers a base salary range with comprehensive benefits and equity potential.

Qualifications

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

Responsibilities

• Take state of the art models and use them in production to solve customer problems.
• Improve and maintain production models through retraining and hyperparameter tuning.
• Collaborate with product and research teams to prototype ML-driven product enhancements.
• Work with massive datasets to develop general and product-specific models.
• Build scalable ML infrastructure to automate and optimize services.
• Serve as a cross-functional advocate for ML across engineering and product teams.
• Learn new technologies quickly and manage multiple priorities.

Skills

GenAI

Agentic AI

NLP

Deep Learning

Reinforcement Learning

Python

PyTorch

TensorFlow

Tools

TensorFlow

PyTorch

Job description

Scale in Washington DC is seeking a Machine Learning Engineer to advance production ML systems, including GenAI and computer vision, for public sector applications. You will work across teams to deploy models, handle large datasets, and build scalable ML infrastructure while navigating security requirements and 10% travel.

The role requires a TS security clearance and offers a base salary range with comprehensive benefits and equity potential.