Machine Learning Engineer - Public Sector (TS Cleared)

Scale AI, Inc.; Washington (District of Columbia); On-site; USD 196,000 - 245,000; Full time

Benefits offered by this job

Health, dental & vision coverage

Retirement benefits

Learning & development stipend

Generous PTO

Commuter stipend

Job summary

Scale AI, Inc. is seeking a Machine Learning Engineer in Washington, DC to deploy state-of-the-art models in production and drive ML-driven product enhancements. You will work with GenAI, CV, and RL techniques to improve customer experiences across Scale’s platforms.

You will collaborate with product and research teams, handle large datasets, and build scalable ML infrastructure while traveling ~10% for customer interactions and team needs. A TS security clearance may be required for this role.

Qualifications

• 2+ years of experience building and deploying applied ML systems in production environments.
• Extensive experience with GenAI, Agentic AI, NLP, deep learning and deep reinforcement learning, or computer vision in a production environment.
• Strong programming fundamentals in algorithms, data structures, and object-oriented programming; Python proficiency.

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

Deep RL

Computer vision

Algorithms

Data structures

Python

TensorFlow

PyTorch

Tools

TensorFlow

PyTorch

Job description

Scale AI, Inc. is seeking a Machine Learning Engineer in Washington, DC to deploy state-of-the-art models in production and drive ML-driven product enhancements. You will work with GenAI, CV, and RL techniques to improve customer experiences across Scale’s platforms.

You will collaborate with product and research teams, handle large datasets, and build scalable ML infrastructure while traveling ~10% for customer interactions and team needs. A TS security clearance may be required for this role.