Data Scientist/Engineer

Position Overview:

BWXT Advanced Technologies (AT) is seeking a Computer Vision / Machine Learning R&D Engineer with an interest in applications of computer vision to complex manufacturing processes. Your skills in machine vision, analytics, machine learning, sensors or robotics will support the research and development of a wide range of nuclear products for space applications, clean power, and propulsion.

Location:

This position is based on-site in Lynchburg, VA at the Advanced Technologies Office.

Your Day to Day as a Computer Vision / Machine Learning R&D Engineer:

• Develop physics informed and constrained machine learning models that are integrated with machine vision classifiers, to identify and classify manufacturing defects and process variation.
• Work on image classifiers, object detectors, video understanding models, multi-modal classifiers, etc.
• Work to develop and improve sensor systems and hardware based directly on model performance.
• Work with engineering teams to implement model pipelines and deploy the services at scale.
• Collaborate with data analysts to understand and find data patterns.

Required Qualifications:

• A bachelor’s degree in electrical engineering, mechanical engineering, physics, computer science, data science, or a related field is required.
• Must have exposure to computer vision and machine learning, with an understanding of deep generative models (e.g., GANs, VAEs, diffusion models).
• Must have knowledge of signal processing with demonstrated knowledge and application of signal processing techniques.
• Must be a self-starter and comfortable supporting multiple teams, systems and developing products.
• Travel (30-40%) domestic and international is required.
• Must be a US Citizen.
• Must be able to obtain and maintain a U.S. Department of Energy (DOE) or Department of Defense (DOD) security clearance, whichever is required.

What We Offer:

• Competitive salary and benefits package, including health, dental, and retirement plans.
• Flexible work schedules and paid time off to promote a healthy work-life balance.
• Professional development opportunities, including mentorship programs and sponsorship for continuing education.
• An inclusive atmosphere that celebrates new perspectives and supports collaboration between different generations.
• The chance to be part of a mission-driven organization making a positive impact on the future of energy.
• Opportunities for continuous learning and training to grow throughout your career!