Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Los Alamos National Laboratory AI/ML/UQ for Multi-Source Data Analysis (Scientist 2/3) in Los Alamos, New Mexico

What You Will Do

Come join one of the world's most innovative R&D facilities to help us tackle tomorrow's national security challenges. The Information Sciences Group (CCS-3) at Los Alamos National Laboratory is seeking technical experts in the research and development of Artificial Intelligence (AI) / Machine Learning (ML) and Uncertainty Quantification (UQ) algorithms with interest in building applications for the end-to-end analysis of multi-source heterogeneous data sets that results in interpretable and defensible insights to support decision making. Data and information sources can include signals data, imagery, acoustic, seismic, radar, etc. in addition to contextual information. The successful applicant will be an established research scientist with expertise in algorithmic development for AI/ML and/or UQ.

This position will be filled at either the Scientist 2 or 3 level, depending on the skills of the selected candidate. Additional job responsibilities (outlined below) will be assigned if the candidate is hired at the higher level.

Scientist 2 ($101,700 - $168,200):

The successful candidate will participate in research and development activities to develop novel AI/ML and UQ techniques and apply those techniques to the analysis and inference over multi-source heterogeneous data sets. Code development will be a core activity of the position, as will writing research papers, publishing in high-quality venues, and delivering in a programmatic environment under time constraints.

Scientist 3 ($122,300 - $206,300):

In addition to the responsibilities outlined at the Scientist 2 level, at this level the successful candidate will oversee research activities and lead small teams as needed. Other responsibilities include writing research proposals, meeting with program sponsors on a regular basis, steering research activities appropriately to ensure success, and building teams to pursue applied R&D efforts.

What You Need

Minimum Job Requirements:

  • Established expertise in the field of AI/ML and/or UQ as evidenced by peer-reviewed publications.

  • Strong programming skills using high-level languages such as C, C++, and/or Python.

  • Ability to work both independently and collaboratively as part of a technically diverse team.

  • Excellent communication skills, as evidenced by publications and cover letter.

Additional Job Requirements for Scientist 3:

In addition to the requirements outlined above, qualification at the higher level requires:

  • Demonstrated ability to assemble teams and successfully respond to program development opportunities and leading those efforts to successful outcomes.

  • Substantial experience mentoring students, postdocs, and/or junior staff members.

Education/Experience at lower level: Positions requires a bachelor' degree in a STEM field from an accredited college and university and 4 years of related experience, typically with post-doctoral research experience at a university or national lab or equivalent experience directly related to the occupation.

Education/Experience at higher level: Position requires a master's degree in a STEM field from an accredited college or university and 6 years of relevant experience or an equivalent combination of education and experience directly related to the occupation.

Desired Qualifications:

  • Ph.D. in Computer Science, Electrical/Computer Engineering, Systems Science, Mathematics, Statistics, or related field from an accredited college or university, or an equivalent combination of education and experience.

  • Experience with AI/ML/UQ research for data and information fusion.

  • Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and related paradigms.

  • Experience with modern AI/ML and UQ libraries and tools for software development.

  • Experience with technically and culturally diverse collaborations and teaming.

  • Active Q or SCI clearance.

Work Location:

This position will be located in Los Alamos, NM, with the potential for a hybrid work arrangement (partially onsite/partially offsite) from a location within 2 hours ground commute of this location. Reporting onsite will be periodically required. Hybrid is at the discretion of management and can change at any time with appropriate notice.

Position commitment: Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.

Note to Applicants:

Please include a CV with publication list and a detailed cover letter describing your qualifications and how they meet the job requirements. No applicant is expected to have all of the desired skills; anyone who meets the minimum job requirements is encouraged to apply.

Where You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

§ PPO or High Deductible medical insurance with the same large nationwide network

§ Dental and vision insurance

§ Free basic life and disability insurance

§ Paid childbirth and parental leave

§ Award-winning 401(k) (6% matching plus 3.5% annually)

§ Learning opportunities and tuition assistance

§ Flexible schedules and time off (PTO and holidays)

§ Onsite gyms and wellness programs

§ Extensive relocation packages (outside a 50 mile radius)

Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2 (https://directives.nnsa.doe.gov/supplemental-directive/sd-0206-0002) . Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance. and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.

*Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 (https://www.directives.doe.gov/directives-documents/400-series/0472.2-BOrder-chg1-pgchg) for additional information.

New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.

Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.

Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 (https://int.lanl.gov/policy/documents/P701.pdf) for applicant eligibility requirements.

Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regard to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to applyhelp@lanl.gov or call 1-505-665-4444 option 1.

DirectEmployers