Machine Learning Scientist

6 days ago

North Las Vegas, United States Unavailable Full time
Overview

Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA).  Our MISSION is to help ensure the security of the United States and its allies by providing high-hazard experimentation and incident response capabilities through operations, engineering, education, field, and integration services and by acting as environmental stewards to the Site’s Cold War legacy.  Our VISION is to be the user site of choice for large-scale, high-hazard, national security experimentation, with premier facilities and capabilities below ground, on the ground, and in the air. (See NNSS.gov for our unique capabilities.) Our 2,750+ professional, craft, and support employees are called upon to innovate, collaborate, and deliver on some of the more difficult nuclear security challenges facing the world today.  In this environment, the best ideas need to be voiced and every opinion matters.  As such, MSTS places great value on Diversity, Equity, and Inclusion and is committed to a diverse and equitable workforce, with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, and perspectives.

  • MSTS offers our full-time employees highly competitive salaries and benefits packages including medical, dental, and vision; both a pension and a 401k; paid time off and 96 hours of paid holidays; relocation (if located more than 75 miles from work location); tuition assistance and reimbursement; and more.  
  • MSTS is a limited liability company consisting of Honeywell International Inc. (Honeywell), Jacobs Engineering Group Inc. (Jacobs), and HII Nuclear Inc.
Responsibilities

The Nevada National Security Site is seeking a Machine Learning Scientist to develop novel machine learning capabilities for state-of-the-art science and engineering applications. You will collaborate closely with interdisciplinary teams of scientists, mathematicians, and engineers from partnering national laboratories and universities. 

Responsibilities

  • Develop new or implement existing Artificial Intelligence / Machine Learning (AI/ML) capabilities to improve the performance of cutting-edge accelerator and pulsed power systems, inform diagnostic measurement methodologies, evaluate opportunities to implement predictive maintenance on large scientific machines, and improve various data analysis routines.
  • Collaborate with subject matter experts to ensure appropriate predictive capabilities and measurement techniques exists for the development of high-fidelity training datasets.
  • Remain aware of advancements in Artificial Intelligence / Machine Learning techniques, capabilities, and implementation strategies.
  • Document results in institutional reports and peer-reviewed journals; present results at institutional meetings, project/program meetings, internal/external workshops, and various conferences.
  • Participate in mentoring summer interns and less experienced staff.
  • Contribute to and participate in planning and reporting activities.
  • Perform other duties assigned by Management.
Qualifications
  • Bachelor’s degree in a calculus-based (STEM) field plus at least 2 years’ relevant experience. Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge. Graduate research experience may be recognized.
  • M.S./M.E. in Computer Science or related field preferred.
  • Proven expertise in Artificial Intelligence / Machine Learning as demonstrated by scientific publication and conference presentations.
  • Experienced in executing code on High Performance Computing systems and remote machine access.
  • Experienced in scientific computing using Linux-based operating systems.
  • Experienced in writing and implementing Python code.
  • Understands information security practices as they pertain to controlled unclassified information.
  • Ability to perform the responsibilities that come with the position.
  • Desired: Experience developing Machine Learning/Artificial Intelligence for particle accelerators.
  • The primary work location will be at North Las Vegas Facility at Losee Road.
  • Work schedule will be 4/10s Monday through Thursday (subject to change).
  • Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing.
  • Must possess a valid driver’s license.

MSTS is required by DOE directive to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants offered employment with MSTS are also subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. In addition, Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship, at least 18 years of age. Reference DOE Order 472.2, “Personnel Security”. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted.

Department of Energy Q Clearance (position will be cleared to this level). Reviews and tests for the absence of any illegal drug as defined in 10 CFR Part 707.4, “Workplace Substance Abuse Programs at DOE Sites,” will be conducted.  Applicant selected will be subject to a Federal background investigation, required to participate in subsequent reinvestigations, and must meet the eligibility requirements for access to classified matter. Successful completion of a counterintelligence evaluation, which may include a counterintelligence-scope polygraph examination, may also be required. Reference 10 CFR Part 709, “Counterintelligence Evaluation Program.”

MSTS 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, veteran status or other characteristics protected by law. MSTS is a background screening, drug-free workplace.

Annual salary range for this position is: $79,393.60 to $119,100.80.

Starting salary is determined based on the position market value, the individual candidate education and experience and internal equity.

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