Machine Learning Engineer

About the role

We’re seeking an experienced, visionary Machine Learning Engineer to orchestrate and optimize complex machine learning workloads at a fundamental level. In this role, you will handle complex prompt engineering, LangGraph multi-agent orchestration, and structure automated Agent Test and Evaluation (T&E) harnesses. You’ll design and implement infrastructure for training, validating, and deploying large-scale machine learning models into production while managing model lifecycles within isolated data sandboxes using MLflow. You will be building "enterprise capabilities" within the Department of War's authoritative data analytics platform (War Data Platform) for the Chief Digital and AI Officer (DoW CDAO).

Responsibilities

• Design and implement infrastructure for training, validating, and deploying large-scale machine learning models into production.
• Develop advanced prompt engineering frameworks and multi-agent systems via LangGraph to support automated analytical tasks.
• Manage model lifecycles within isolated data sandboxes using MLflow, establishing bias mitigation and statistical verification gates.

Requirements

• Active Top Secret, SCI Eligible clearance.
• 4+ years of professional experience in machine learning, MLOps, or data science.
• Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Work Location: Arlington County, VA (Hybrid).

Skills

• Frameworks & Orchestration: Expertise in LangGraph multi-agent orchestration and building automated Agent Test and Evaluation (T&E) harnesses.
• MLOps & Lifecycle Management: Hands-on experience with MLflow for tracking, managing model lifecycles, and managing isolated data sandboxes.
• Advanced Machine Learning: Demonstrated proficiency in Python, Databricks Notebooks, and advanced prompt engineering frameworks.
• Quality & Validation: Experience establishing bias mitigation, statistical verification gates, and deploying large-scale models into production.
• Desired Skills: Collaborative leader with a drive for innovation and technical excellence; strong problem-solving abilities focused on continuous optimization and bias mitigation; passion for delivering impactful, reliable AI solutions across complex enterprise environments.

Pay

The annual base salary range for this role is $150,000-$200,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Benefits

• Nyla FLEX Program: Custom-tailored benefits to fit your lifestyle in pay, leave, and schedule.
• Pay: 4 weeks of Annual Leave plus 11 holidays; additional day of Annual Leave per year of service; flexibility to cash out annual leave, opt out of other benefits, or arrange for additional contract hours (over 40 hrs/week). Option to earn 1.3 times your hourly rate after 1880 contract hours.
• Leave: Option to buy additional annual leave for a total of 6 weeks (240 hours) plus 11 holidays and paid anniversary leave.
• Schedule: Freedom to scale down to 30-32 hours per week while retaining full benefits.
• Healthcare: 100% company-covered medical, dental, and vision.
• Retirement: 10% 401k matching with full vesting from day one.
• Professional Development: $5,000 per year for fees, tuition, or time off for continued growth.
• Student Loan Repayment: Available program.
• Volunteering: 8 hours of paid volunteering annually.

About Nyla Technology Solutions

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning a solid reputation as technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers value how we tackle their most challenging problems and get things done.