Early Career Computer Science - Applied Machine Learning Engineer, Onsite

About Sandia:

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*

World-changing technologies. Life-changing careers. Learn more about Sandia at: http://www.sandia.gov*These benefits vary by job classification.

What Your Job Will Be Like:

We are seeking a Computer Science/Applied Machine Learning Engineer to explore, prototype 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:

• Review innovative, new 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).

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

Salary Range:

$95,400 - $185,700

*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.

Qualifications We Require:

• Bachelor's degree in relevant STEM field

• One (1) or more years' experience in generative AI, reinforcement learning, machine learning and/or deep learning

• Two (2) or more years' experience:

• programming in Python

• working in Linux environments

• working with Git

• Ability to acquire and maintain a DOE Q clearance

Qualifications We Desire:

• Demonstrated Knowledge of:

• Application productionization

• Application of LLMs and/or Diffusion models

• Experience working with Docker or other Containerization platforms

• Experience in two (2) or more of the following machine learning frameworks:

• Tensorflow

• Pytorch

• Scikit-learn

• LangChain

• Exceptional communication skills with a track record of building and maintaining collaborative and customer relationships

• Ability to prioritize, manage, and complete multiple projects within appropriate scope and timeframe

• Strong analytical and critical thinking skills to identify creative solutions

• 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)

• Ability to acquire and maintain an SCI clearance

About Our Team:

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.

Posting Duration:

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.

Security Clearance:

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.

EEO:

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.

NNSA Requirements for MedPEDs:

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.

Position Information:

This Limited Term Employee (LTE) position is a temporary position for one year term, which may be renewed at Sandia's discretion up to a maximum of seven years.

Individuals in LTE positions may bid on regular Sandia positions as internal candidates, and in some cases may be converted to regular career positions during their term if warranted by ongoing operational needs, continuing availability of funds, and satisfactory job performance.

Job ID: 694417

Job Family: RD

Regular/Temporary Position: T

Full/Part-Time Status: F