ML Engineer 3

Key Skills

C Programming, Data science techniques, High performance computing- HPC, Large Language Models - LLMs, Machine learning techniques, Python Programming, PyTorch

Job Description

Research Computing advances scientific discovery by providing researchers computational tools to accelerate their research outcomes. We support computationally enabled science by providing researchers access to computational building blocks (e.g., HPC, Machine Learning environments, Data Management Tools etc.). We also provide services, expertise, and support to researchers to optimize their use of our capabilities (e.g., HPC & Machine Learning Consulting, and machine Learning workflow management, etc.), all while fostering a culture of computing through interdisciplinary collaboration and access to computational resources.

Responsibilities

• We are seeking an ML engineer to join project teams building HPC and ML solutions to support a broad variety of scientific domains.
• The scope of work will be diverse and will include joining existing project teams across the research directorates, understanding their domain and project needs. Then designing, building, and implementing applications and pipelines to support their various needs.
• The work will also include implementing broadly applicable operational solutions to support ranges of projects and domains. This may include pipelines, automation, and containerization and various technologies and platforms.
• An element of the work will also be joining existing research efforts and developing software and algorithms to support the project research focus. Additionally, this may include helping domain scientists leverage various ML techniques.
• You must understand and have experience in a mix of technologies such as, Python, C, PyTorch, and OpenMPI. For aspects of the work, experience and interest in Machine Learning workflows, and large language models will be an advantage. In addition, it would be advantageous to have experience in other scientific or engineering domains and mathematics.

Initially you will join existing project teams, and as such you will be expected to operate within specific guidelines and coding standards. As a level 3 you will be increasingly responsible for building your own opportunities within PNNL, leading other team members in developing technical solutions, and developing opportunities for other staff to follow. Additionally, is expected that you will be mentoring others and leading tasks on projects.

Qualifications

Minimum Qualifications:

• BS/BA and 5+ years of relevant work experience -OR-
• MS/MA and 3+ years of relevant work experience -OR-
• PhD with 1+ year of relevant experience

Preferred Qualifications:

• Experience participating in working with scientists and engineers of various scientific domains and being able to bridge between the various domains and computer and data science.
• Experience working with project teams, understanding scientific realms and applying computer science principles in support of the scientific mission of the project.
• Experience with building large language models to support research.

Hazardous Working Conditions/Environment

Not applicable.

Additional Information

Not applicable.

“Referral Eligible”

Testing Designated Position

This is not a Testing Designated Position (TDP).

About PNNL

Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!

At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3-hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.

Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity

Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.

Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.

We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.