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Machine Learning Engineer New
Lawrence Berkeley National Laboratory
Snoqualmie, CA, United States

Job Title

Machine Learning Engineer

Job Description

Machine Learning Engineer - 91044 Organization: CR-Computational Research

Berkeley Lab’s Computational Research Division has an opening for a Machine Learning Engineer. As part of a fast-moving and vibrant research team, this position will contribute to the design and development of advanced hybrid Machine Learning (ML) algorithms that combine Probabilistic Graphical Models and Deep Learning models for scientific data generated by experiments and simulation. Working under supervision of senior staff, the successful candidate will develop new software implementations of machine learning methods and assist in conducting studies to measure their performance as applied to scientific data analysis problems.

What You Will Do:

  • Contribute to the design and development of advanced hybrid Machine Learning (ML) algorithms that combine Probabilistic Graphical Models and Deep Learning models for scientific data.
  • Develop software ML in both Python and C/C++, including specific Python ML packages like PyTorch, Keras, Tensorflow, Caffe.
  • Develop an understanding of software pipelines behind several different well known deep learning models for image analysis such as U-Net, VGG, V-net, ResNet, Graph Neural Networks, and others, aiming to adapt/extend such models for the purposes of the scientific research.
  • Contribute to performance and scalability analysis of these ML methods, including identification of performance bottlenecks and limits.
  • Contribute to the design and implementation of parallelization of these hybrid ML methods for both distributed- and shared-memory platforms, including GPU-based platforms.
  • Collaborate with a diversity of researchers at the Berkeley Lab science user facilities to apply techniques to different scientific datasets.
  • May contribute to one or more existing research projects in the Data Analytics & Visualization, projects that involve machine learning software development for scientific image analysis.

The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on October 2, 2020.

Notes:

  • This is a full-time, 1 year term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
  • This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • This position will telework initially (but is limited to individuals residing in the United States), tentatively until September 2021 due to COVID-19. Once the Bay Area shelter-in-place restrictions are lifted, work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

How To Apply

Apply directly online at http://50.73.55.13/counter.php?id=186188 and follow the on-line instructions to complete the application process.

Restrictions

  • No telecommuting
  • No Agencies Please

Requirements

What is Required:

  • Bachelor’s degree in Computer Science, Applied Mathematics and a minimum of 2 years of related experience; or equivalent combination of education and work experience.
  • Experience developing ML methods, such as multi-layer neural networks, using one or more established ML frameworks, such as Tensorflow, Keres, PyTorch.
  • Experience writing software in one or more of: C++, Python.
  • Ability to work effectively as part of a large distributed team and communicate clearly and effectively.

Desired Qualifications:

  • Graduate degree in computer science, applied mathematics, or related field.
  • Record of scientific publications in machine learning, data analysis.
  • Software products/artifacts/releases of ML-based methods.
  • Experience developing scalable software capable of running in parallel on large-scale high performance computing platforms.

About the Company

Learn About Us: Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab - Click Here (https://hr.lbl.gov/).

Berkeley Lab (LBNL, http://www.lbl.gov/) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science.

Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4 (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html). Click here (http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf) to view the poster: "Equal Employment Opportunity is the Law".

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.

Contact Info

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