This posting will be open for application submissions for a minimum of seven (7) calendar days, including the ‘posting date’. Sandia reserves the right to extend the posting date at any time.

If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs.

If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date.

$101,400 - $201,400

• Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential.

We are seeking an experienced Applied Machine Learning/Computer Science Researcher to explore and experiment with machine learning approaches towards novel applications relevant to mission programs at Sandia National Laboratories.

On any given day, you may be called on to:

• Lead machine learning projects and/or implementation thrusts as the PI (Principal Investigator) or Lead POC (Point of Contact).
• Report on the progress of efforts you lead to management and Investment Area leadership.
• Review innovative literature with teammates and partners for continuous learning and brainstorming.
• Conduct experiments with algorithms from recent machine learning and deep learning literature.
• Bring to bear and/or build machine learning prototypes for use in research assessments and experimentation.
• Present, publish and patent novel research.
• Maintain commitments to customer/project support and maintenance (managing expectations and allocations, communicating hiring needs to management).
• Consider wholistic needs of the mission and identify potential solutions.
• Find opportunities for team and staff growth.
• Plan team vision with other leads and management.
• Communicate with customers of projects on resources (allocations, budget, developers).
• Build partnerships with other teams and departments.
• Mentor team members.
• Onboard new staff.

Due to the nature of the work, the selected applicant must be able to work onsite 75% of the time.

• Bachelor's degree in STEM field plus five (5) or more years of experience in scientific research and/or machine learning
• Three (3) or more years' experience in reinforcement learning, machine learning and/or deep learning
• Five (5) or more years' experience:
  • programming in Python
  • working in Linux environments
• Experience working with Docker or other Containerization platform
• Experience in two (2) or more of the following machine learning frameworks:
  • Tensorflow
  • Pytorch
  • Scikit-learn
• At least one (1) research publication within the last three (3) years
• Experience with proposal writing and project estimation
• Ability to acquire and maintain a DOE Q clearance
  

• Demonstrated Knowledge of:
• Application productionization
• Application of LLMs and/or Diffusion models
• One (1) years' experience leading teams and projects of three (3) or more researchers and engineers across multiple fields
• Exceptional communication skills with a track record of building and maintaining collaborative and customer relationships
• Experience paving new paths for research and taking steps to acquire appropriate funding and support
• Ability to prioritize, manage, and complete multiple projects within appropriate scope and timeframe
• Success in multi-functional teams to facilitate and drive integrated, multi-disciplinary solutions to complex problems
• Track record of professional service (e.g., technical reviewer, conference organizer)
• Interest and experience in recruiting and maintaining a positive team environment
• Ability to acquire and maintain an SCI clearance

The Applied Machine Intelligence department provides state-of-the-art technologies and expertise in machine learning, deep learning, and research engineering to a diverse portfolio of mission programs. The department works closely with mission partners to apply innovative research to a broad range of disciplines including cyber security, computer vision, digital twins, complex systems, high performance computing and others in support of Sandia's national security efforts.

Sandia National Laboratories is the nation’s premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs:

• Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
• Extraordinary co-workers
• Some of the best tools, equipment, and research facilities in the world
• Career advancement and enrichment opportunities
• Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
• Generous vacations, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance*

Sandia is required by DOE 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 for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. 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.

Applicants offered employment with Sandia are 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.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law.