Senior Data Scientist 4 - Computer Vision

Pacific Northwest National Laboratory Seattle , WA 98113

Posted 3 weeks ago

Overview

PNNL is combining profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges.

Working in multidisciplinary teams, PNNL connects research and engineering to operations, providing the tools necessary to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management, to analysis and decision support.

Responsibilities

For more than 50 years, PNNL has advanced the frontiers of science and engineering in the service of our nation and the world in the areas of energy, the environment, and national security. PNNL's Computing and Analytics Division, part of the National Security Directorate, is committed to advancing the state of the art in artificial intelligence through applied machine learning and deep learning to support scientific discovery and our sponsors' missions. Be a thought and technical leader supporting the development and advancement of computer vision research and capabilities.

This position requires interactions with government, military, and industry officials nationwide for a variety of programs, projects, and tasks, including technical and programmatic concept development, planning, coordination, integration, and execution that can be supported by data science and deep learning techniques.

Qualifications

Minimum Qualifications:

  • BS/BA and 7+ years of relevant work experience
  • OR-
  • MS/MA and 5+ years of relevant work experience
  • OR-
  • PhD with 3+ years of relevant experience

Preferred Qualifications:

  • Experience developing, training, and testing machine learning models in frameworks like PyTorch

  • Experience applying machine learning and artificial intelligence to computer vision. Additional domain application experience is preferred - geospatial intelligence, natural language processing vision, few-shot learning, adversarial machine learning, social computing, etc.

  • Ability to contribute knowledge to the academic and research strength of PNNL and have experience writing scientific publications demonstrating their insight and discovery (e.g., publication in conferences such as NeurIPS, ICML, ICLR, KDD, CVPR, ICCV, ECCV, ACL, ICWSM, EMNLP, NAACL, EACL, COLING, and SIGIR is preferred)

  • 3+ years of experience with computer vision in academia or industry

  • 5+ years in machine learning or applied science/research in academia or industry

  • 5+ years of experience with general purpose programming language (Python, Scala, Java, C, C++, etc.)

  • Active Federal Q Clearance and ability to maintain such clearance

Hazardous Working Conditions/Environment

Not applicable.

Additional Information

This position requires the ability to obtain and maintain a federal security clearance.

Requirements:

  • U.S. Citizenship

  • Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.

  • Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).

Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated."Referral Eligible"

Testing Designated Position

This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.

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.

Drug Free Workplace

PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.

Mandatory Requirements

Battelle requires employees to have a COVID-19 vaccine as a condition of employment, subject to accommodation. Applicants are required to disclose their vaccination status following a conditional offer of employment and must attest to being fully vaccinated with a Center for Disease Control (CDC)-approved COVID-19 vaccination or provide documentation of need for medical or religious exemption from the COVID-19 vaccination requirement.

Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.


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Senior Data Scientist 4 - Computer Vision

Pacific Northwest National Laboratory