Machine Learning Architect

7 days ago


Berkeley, California, United States WiMLDS Inc Full time

About the Role

We are seeking a highly skilled Machine Learning Engineer to join our team at WiMLDS Inc. This exciting opportunity will involve applying wide-ranging expertise to support science and advanced analytics.

As a Machine Learning Engineer, you will be part of multidisciplinary and cross-institution projects, involving academic and industry partners both in domain sciences as well as in machine-learning.

Your responsibilities will include supporting the ML/DL software stack on NERSC supercomputers, deploying new cutting-edge tools and frameworks for scalable ML/DL workflows, and working with scientists to apply ML/DL techniques to their research.

The selected candidate(s) will be hired at a Level 3 or Level 4 depending on their level skills and experience.

Key Responsibilities at Level 3:

  • Support the ML/DL software stack on NERSC supercomputers and deploy new cutting-edge tools and frameworks for scalable ML/DL workflows.
  • Collaborate with scientists and industry partners to develop new applications of machine learning opening the door to new science.
  • Provide expert ML/DL advice, consultancy services, and training events to scientists and users of NERSC computing resources.
  • Engage with the ML academic communities to stay on top of the latest advancements in ML.
  • Shape future NERSC supercomputers, evaluating new hardware architectures for AI.
  • Determine methods and procedures on new assignments and may coordinate activities of other personnel.
  • Network with key contacts outside your 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.

In Addition, The Level 4 Will:

  • Mentor early career staff members in AI/ML techniques and projects.
  • Stay abreast of new and emerging AI/ML trends through R&D collaborations, literature, workshops, and conferences; translate these new directions into actionable opportunities for NERSC or NERSC users.
  • Develop strategy for addressing both performance and productivity requirements of the NERSC AI/ML 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.

Requirements At Level 3:

  • Bachelor's degree in Physical Sciences, Computer Science, or related field 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 machine learning and 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 your area of expertise.
  • Excellent oral and written communication 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.

In Addition, The Level 4 Requires:

  • 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/ML 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.

Salary Information

This position offers an estimated salary range of $145,000 - $185,000 per annum based on relevant experience and qualifications.

Benefits:

  • Full-time, career appointment exempt from overtime pay.
  • Eligible for flexible work modes, including hybrid schedules, dependent on business needs.
  • Opportunities for professional growth and development within WiMLDS Inc.


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