Senior Machine Learning Engineer

US Citizenship Required for this Position:

Yes

Full-Time

Shift: 1st
Relocation:
No relocation assistance available
Virtual/Telework Opportunity:
Yes - Occasional or hybrid telework available

Travel Requirement:
Yes, 10%-25% of the time

Clearance Required:

No - Clearance Not Required to Start

Meet HII’s Newport News Shipbuilding
With more than 25,000 employees – including third-, fourth- and even fifth-generation shipbuilders – HII’s Newport News Shipbuilding (NNS) division is the largest industrial employer in Virginia. We’re the sole designer, builder and refueler of U.S. Navy nuclear aircraft carriers and one of two providers of U.S. Navy nuclear submarines. Our diverse and innovative team of professionals ranges from skilled trades to project managers, engineers and software developers to solution architects, technical subject matter experts, and system users.

Anchored in our rich, 135-year history, we collaborate together at the forefront of technology, manufacturing, and integration of the most powerful and survivable naval ships in the world. Want to be part of the team? Apply today! We look forward to meeting you.

Design, develop, and test operating systems-level software, compilers, and network distribution software. Set operational specifications, and formulate and analyze software requirements. May design embedded systems software.

We are seeking a Senior Machine Learning Engineer to join our dynamic Data Science team. In this role, you will design, build, and optimize machine learning solutions that power critical business applications. You will work closely with data scientists and engineers to implement scalable ML pipelines using ML Ops best practices, ensuring models are efficiently deployed, monitored, and maintained in production environments.

This position requires a strong technical foundation, a collaborative mindset, and a passion for delivering high-quality, data-driven solutions.

Key responsibilities include:

• Developing and maintaining ML pipelines for training, deployment, and monitoring.
• Collaborating with data scientists to operationalize models and improve performance.
• Implementing CI/CD workflows for ML systems.
• Ensuring reproducibility, scalability, and reliability of ML solutions.
• Driving automation and optimization across the ML lifecycle.

• Bachelor's Degree and 9 years of relevant exempt experience;
  Master's Degree and 7 years of relevant professional experience;
  Ph.D. and 4 years of experience.
• One of the following may be used as an equivalent to Bachelor's Degree for Information Technology Related Positions Only:
  • Associate's Degree or other formal 2 year program and 2 years of relevant exempt experience or 4 years of relevant non-exempt experience
  • Military Paygrade E-5 or above military experience
  • High School/GED and 4 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant exempt experience
  • High School/GED and 8 years combined of Manufacturing, Shipbuilding, Trades, Military experience or other relevant non-exempt experience
  • A relevant professional certification can be substituted for a Bachelor's Degree.
  • • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
    
    • 9 years of experience in software engineering with a focus on backend or systems development. Master's degree and 7 years of relevant experience. PhD and 4 years of experience.
    
    • Proficiency in Python and ML frameworks (e.g., Tensor Flow, PyTorch).
    
    • Hands-on experience with ML Ops tools and practices (e.g., MLflow, Kubeflow, Airflow).
    
    • Strong understanding of cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
    
    • Experience with CI/CD pipelines and version control (Git).
    
    • Excellent problem-solving and communication skills.

• Master’s degree in Computer Science, Machine Learning, or related discipline.
• Experience with large-scale data processing (Spark, Hadoop).
• Knowledge of feature stores and model monitoring tools.
• Familiarity with distributed training and optimization techniques.
• Background in building ML solutions for real-time or high-throughput systems.
• Contributions to open-source ML or Dev Ops projects.
• Stron…