Machine Learning Engineer
Machine Learning Engineer – 91044
Organization: CR-Computational Research
Berkeley Lab’s Computational Research Division has a gap for a Machine Learning Engineer. As a part of a fast-moving and vibrant analysis group, this place will contribute to the design and improvement of superior hybrid Machine Learning (ML) algorithms that mix Probabilistic Graphical Models and Deep Learning fashions for scientific knowledge generated by experiments and simulation. Working below supervision of senior workers, the profitable candidate will develop new software program implementations of machine studying strategies and help in conducting research to measure their efficiency as utilized to scientific knowledge evaluation issues.
What You Will Do:
- Contribute to the design and improvement of superior hybrid Machine Learning (ML) algorithms that mix Probabilistic Graphical Models and Deep Learning fashions for scientific knowledge.
- Develop software program ML in each Python and C/C++, together with particular Python ML packages like PyTorch, Keras, Tensorflow, Caffe.
- Develop an understanding of software program pipelines behind a number of totally different well-known deep studying fashions for picture evaluation comparable to U-Net, VGG, V-net, ResNet, Graph Neural Networks, and others, aiming to adapt/lengthen such fashions for the needs of the scientific analysis.
- Contribute to efficiency and scalability evaluation of those ML strategies, together with identification of efficiency bottlenecks and limits.
- Contribute to the design and implementation of parallelization of those hybrid ML strategies for each distributed- and shared-memory platforms, together with GPU-based platforms.
- Collaborate with a variety of researchers on the Berkeley Lab science person services to use strategies to totally different scientific datasets.
- May contribute to a number of current analysis tasks within the Data Analytics & Visualization, tasks that contain machine studying software program improvement for scientific picture evaluation.
The posting shall stay open till the place is crammed, nevertheless for full consideration, please apply by shut of enterprise on October 2, 2020.
- This is a full-time, 1 yr time period appointment with the potential for extension or conversion to Career appointment based mostly upon passable job efficiency, persevering with availability of funds and ongoing operational wants.
- This place could also be topic to a background verify. Any convictions shall be evaluated to find out in the event that they instantly relate to the tasks and necessities of the place. Having a conviction historical past won’t robotically disqualify an applicant from being thought-about for employment.
- This place will telework initially (however is proscribed to people residing within the United States), tentatively till September 2021 as a result of COVID-19. Once the Bay Area shelter-in-place restrictions are lifted, work shall be primarily carried out at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
How To Apply
Apply instantly on-line at http://126.96.36.199/counter.php?id=186188 and observe the on-line directions to finish the appliance course of.
- No telecommuting
- No Agencies Please
What is Required:
- Bachelor’s diploma in Computer Science, Applied Mathematics and a minimal of two years of associated expertise; or equal mixture of schooling and work expertise.
- Experience growing ML strategies, comparable to multi-layer neural networks, utilizing a number of established ML frameworks, comparable to Tensorflow, Keres, PyTorch.
- Experience writing software program in a number of of: C++, Python.
- Ability to work successfully as half of a giant distributed group and talk clearly and successfully.
- Graduate diploma in laptop science, utilized arithmetic, or associated discipline.
- Record of scientific publications in machine studying, knowledge evaluation.
- Software merchandise/artifacts/releases of ML-based strategies.
- Experience growing scalable software program able to working in parallel on large-scale excessive efficiency computing platforms.
About the Company
Learn About Us:
Working at Berkeley Lab has many rewards together with a aggressive compensation program, wonderful well being and welfare packages, a retirement program that’s second to none, and excellent improvement alternatives. To view details about the numerous rewards which are supplied at Berkeley Lab – Click Here (https://hr.lbl.gov/).
Berkeley Lab (LBNL, http://www.lbl.gov/) addresses the world’s most pressing scientific challenges by advancing sustainable vitality, defending human well being, creating new supplies, and revealing the origin and destiny of the universe. Founded in 1931, Berkeley Lab’s scientific experience has been acknowledged 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 certified candidates will obtain consideration for employment with out regard to race, coloration, faith, intercourse, sexual orientation, gender id, nationwide origin, incapacity, age, or protected veteran standing. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision below 41 CFR 60-1.4 (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html). Click right 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 functions from ladies, minorities, veterans, and different underrepresented teams presently contemplating scientific analysis careers.