Early Career Computer Science - Applied Machine Learning Engineer, Onsite

$95,400 - $185,700/Yr

Sandia Corporation - Albuquerque, NM

Part-time,Full-time - Entry Level

Remote - Albuquerque, NM

Professional, Scientific, and Technical Services

About the position

The Early Career Computer Science - Applied Machine Learning Engineer position at Sandia National Laboratories involves exploring, prototyping, and experimenting with machine learning approaches for novel applications relevant to mission programs. The role requires collaboration with teammates to review literature, conduct experiments, and develop machine learning prototypes, while also maintaining commitments to customer support and project management.

Responsibilities

• Review innovative, new literature with teammates and partners for continuous learning and brainstorming.
• Conduct experiments with algorithms from recent machine learning and deep learning literature.
• Bring to bear and/or build machine learning prototypes for use in research assessments and experimentation.
• Present, publish and patent novel research.
• Maintain commitments to customer/project support and maintenance.

Requirements

• Bachelor's degree in relevant STEM field
• One (1) or more years' experience in generative AI, reinforcement learning, machine learning and/or deep learning
• Two (2) or more years' experience programming in Python
• Two (2) or more years' experience working in Linux environments
• Two (2) or more years' experience working with Git
• Ability to acquire and maintain a DOE Q clearance

Nice-to-haves

• Demonstrated Knowledge of application productionization
• Application of LLMs and/or Diffusion models
• Experience working with Docker or other Containerization platforms
• Experience in two (2) or more of the following machine learning frameworks: Tensorflow, Pytorch, Scikit-learn, LangChain
• Exceptional communication skills with a track record of building and maintaining collaborative and customer relationships
• Ability to prioritize, manage, and complete multiple projects within appropriate scope and timeframe
• Strong analytical and critical thinking skills to identify creative solutions
• Success in multi-functional teams to facilitate and drive integrated, multi-disciplinary solutions to complex problems
• Track record of professional service (e.g., technical reviewer, conference organizer)
• Ability to acquire and maintain an SCI clearance

Benefits

• Generous vacations
• Strong medical benefits
• Competitive 401k
• Learning opportunities
• Relocation assistance
• Flexible work arrangements including 9/80 and 4/10 workweeks