Overview Lawrence Berkeley National Lab’s (LBNL) NERSC Division has an opening for a Machine Learning Engineer to join the team. In this role, you will serve as a Machine Learning Engineer in NERSC’s Data and AI Services group. We are building a next-generation platform for scientific AI on supercomputers. You will apply broad expertise to develop AI services to support science. You will be part of multidisciplinary and cross-institution projects, involving lab, academic and industry partners. Responsibilities could include developing new AI services and supporting the AI software stack on NERSC supercomputers; deploying new cutting-edge tools and frameworks for at-scale scientific AI workflows; and working with scientists to apply AI techniques to their research.

What You Will Do Develop AI services on NERSC’s advanced computing and data systems to support fundamental science

Support the AI software stack on NERSC supercomputers, deploy new cutting-edge tools and frameworks for scalable AI workflows

Provide expert AI engineering engagement, and training events to scientists and users of NERSC computing resources

Engage with the AI community to stay on top of the latest advancements in AI services and software

Shape future NERSC supercomputers, evaluating new architectures for AI

Collaborate with scientists and industry partners to enable transformative AI for science

Determine methods and procedures on new assignments and may coordinate activities of other personnel

Network with key contacts outside your own area of expertise

Work on and resolve complex issues where analysis of situations or data requires an in-depth evaluation of variable factors

Exercise judgment in selecting methods, techniques and evaluation criteria for obtaining results

Additional Responsibilities Mentor and lead early career staff members in AI services, techniques and projects

Stay abreast of new and emerging trends in AI services, through collaborations, workshops and conferences; translate these new directions into actionable opportunities for NERSC or NERSC users

Develop strategy for addressing both performance, as well as productivity requirements of the NERSC AI for science community

Work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles

Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results

What Is Required Bachelor’s degree in Physical Sciences, Computer Science or related field or equivalent is required. Masters and PhD degrees in similar disciplines are preferred

Typically requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or equivalent experience

Wide-ranging experience in the areas of AI and/or data science, as applied to scientific data

Ability to troubleshoot and resolve complex issues in creative and effective ways

Ability to network and collaborate with key contacts outside their own area of expertise

Excellent oral and written communication skills

Excellent software development skills

Proven ability to work productively both independently and as part of an interdisciplinary team balancing divergent objectives involving research, code development, supporting software and consulting with scientists

Additional Requirements Typically requires a minimum of 12 years of related experience with a Bachelor’s degree; or 8 years and a Master’s degree; or equivalent experience

Broad expertise and/or unique knowledge in the areas of AI technology is required

Ability to work on and resolve significant and unique issues where analysis of situations or data requires an evaluation of intangibles

Ability to exercise independent judgment in methods, techniques and evaluation criteria for obtaining results

Desired Qualifications Familiarity with deep learning architectures and technologies (e.g., TensorFlow, PyTorch, JAX)

Track record of AI software development, AI service deployments, or publications in AI/science venues

Experience with GPUs and performance optimization of ML at scale

Familiarity with containerization and HPC workflows

For full consideration please apply by October 10th, 2025.

Notes This is a full-time, career appointment, exempt (monthly paid) from overtime pay

This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate

Salary range: Level 3 and Level 4 details provided in the original

This position is subject to a background check. Having a conviction history will not automatically disqualify an applicant

Hybrid work may be considered. Real ID or acceptable ID required for site access

Equal Employment Opportunity Berkeley Lab is an Equal Opportunity Employer. We strive to build a diverse and inclusive community. All qualified applicants will be considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected status.

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