What You Will Do
Come join the world's most innovative R&D facility, helping us tackle tomorrow's large-scale science and national security challenges. The Information Sciences Group (CCS-3) at Los Alamos National Laboratory is seeking senior technical experts in the field of Artificial Intelligence to join our vibrant and multidisciplinary research team in developing AI for Science. The... successful applicant will be an established leader in the AI or Machine Learning research communities, with a reputation for innovation and leadership. Our mission is to develop and deliver novel AI algorithms, including foundation models, for extreme-scale scientific challenges.
CCS-3 invites candidates with an exemplary track record of establishing and leading successful research programs in the AI or ML disciplines to apply. The successful candidate is expected to be a self-starter, and will be responsible for working with group management to develop new research directions and establish new research programs.
This position will be filled at either the Scientist 3 or 4 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 3 ($122,300 - $206,300)
The successful candidate will oversee and participate in research activities to develop AI techniques, such as foundation models, for a variety of projects related to scientific discovery and national security. Responsibilities will include leading R&D activities/projects related to developing AI-enabled extreme-scale physics simulations, molecular dynamics, self-driving laboratory experiments, predictive science for user facilities, surrogate modeling, or uncertainty quantification. Other responsibilities include writing research proposals and meeting with program sponsors on a regular basis, steering research activities appropriately to ensure success, and building teams to pursue applied R&D efforts.
Scientist 4 ($146,800 - $254,700)
In addition to the responsibilities outlined at the lower level, at this level the successful candidate will be responsible for establishing new programs and funding sources in support of broad machine-learning activities for the group and laboratory.
What You Need
Minimum Job Requirements
• Established expertise and leadership in the fields of artificial intelligence, machine learning, or uncertainty quantification as evidenced by peer-reviewed publications.
• Track record of writing successful proposals to external funding agencies to secure funds for AI/ML/UQ research projects.
• Excellent communication skills, as evidenced by publications and cover letter.
• Evidence of strong interpersonal skills and ability to grow and lead project teams as well as collaborate effectively in a team environment.
• Evidence of strong programming skills using high-level languages such as Python.
• Experience mentoring students, postdocs, and/or junior staff members.
Additional Job Requirements for Scientist 4:
In addition to the requirements outlined above, qualification at the higher level requires:
• Nationally recognized expertise in the field of artificial intelligence, machine learning, or uncertainty quantification.
• Demonstrated ability to build and lead large project teams successfully.
• Demonstrated ability to define technical direction and frontiers by conceiving, planning, and conducting research and guiding development to fruition of final products.
• Evidence of successful program development and proposal writing for large research efforts.
Education/Experience at lower 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.
Education/Experience at higher level: Position requires a Master's degree in a STEM field from an accredited college or university and 12 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, Mathematics, Statistics, or related field from an accredited college or university, or an equivalent combination of education and experience.
• Experience with AI for science, foundation models, transformer architectures, science-informed machine learning, surrogate modeling, digital twins, inverse problems, or uncertainty quantification.
• Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and related paradigms.
• Experience with modern machine-learning libraries and tools, especially for training and deploying foundation models.
• Ability to obtain a Q 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. Working on some of the group's projects requires a Q clearance. 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 for additional information.
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. 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.
No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
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 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 [email protected] or call 1-505-665-4444 option 1
Los Alamos NM USA