Lockheed Martin
Senior Reinforcement Learning (RL) Engineer
Fort Worth, TX
Nov 22, 2024
Full Job Description

Description:When it comes to using cutting-edge machine learning to tackle complex problems, Lockheed Martin is driven by a singular mission focus and desire to continuously innovate. Today's challenges to global security aren't just changing - they're accelerating faster than ever before. Through our dedication to our mission, our AI-enabled systems are changing the way militaries operate and protect their forces, the way first responders fight fires, and how researchers explore the far reaches of space and the ocean's depths.

The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy individual with a strong working knowledge in software engineering, artificial intelligence, machine learning, and reinforcement learning to support the AI Integration team and product portfolio, focusing on the Cognitive Mission Manager and Cognitive Baseline programs. The team is focused on exploiting small, innovative teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the enterprise and in the field for our customers.

The selected candidate will focus on the development of technologies and products that leverage Artificial Intelligence to provide discriminating capability to our customers. This will require engagement in every phase of the system development lifecycle including requirements generation, system and software design, implementation, integration, and flight test. Activities will range from low TRL research, proof of concepts, development of prototypes, building demonstrators, and transition to production. The selected candidate can expect to utilize current AI paradigms including computer vision, deep learning, and reinforcement learning, applying these techniques to solve complex problems and field innovative solutions.

Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills. The team's preference is for a candidate who will be based from any major Lockheed Martin facility, e.g. Palmdale, Denver, Ft Worth, Philadelphia, or Marietta with the option to work remotely on a hybrid schedule.


What's In It For You
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here.
Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the pa
What's In It For You
From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, Learn more about Lockheed Martin's comprehensive benefits package here.
Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus -if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.


Our Commitment to Diversity and Inclusion
We Hear You, We See You. At LM Enterprise Operations we invest in people and promoting the sharing of ideas to create incredible solutions. We know that our success depends on the combined efforts of diverse-thinkers like you! At LM Enterprise Operations, we cultivate an inclusive environment that appreciates differences and unique thinking.
Our global commitment to diversity and inclusion reflects our values of doing what's right, respecting others and performing with excellence.Learn more here: Global DEI.
Basic Qualifications:
* Bachelor's Degree in Engineering / Computer Engineering from an accredited college in a related discipline, or equivalent experience, with 2 years of professional experience; or no experience with a related Master's degree.
* Experience using AI/ML frameworks (Pytorch, Tensorflow, etc.)
* Experience with multiple libraries (NumPy, OpenCV, Scikit, Pandas, etc.)
* Experience working with Agile methodologies
* Experience with Python, Java, C++, GO, or other compiled languages
* Experience providing best practices and design principles in all program technologies and implementing them across product teams
* Familiarity with transitioning AI prototypes to production
* Must be a US Citizen
Desired Skills:
* Experience with establishing a learning environment and training a reinforcement learning agent
* Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]
* Experience writing Dockerfiles, Helm and Kubernetes deployment scripts and templates
* Experience interfacing with databases (SQL, MongoDB, etc.)
* Experience with high-performance computing
* Experience with managing Kubernetes container orchestration platforms including Rancher, OpenShift
* Familiarity with cloud platform management and provisioning including AWS GovCloud and Microsoft Azure
* Top Secret // SCI Clearance
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Other Important Information You Should Know
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits.
Schedule for this Position: 4x10 hour day, 3 days off per week
Pay Rate:
The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Maryland, Washington or Washington DC is $100,900 - $193,300. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.

Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
(Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

This position is incentive plan eligible.
Pay Rate:
The annual base salary range for this position in most major metropolitan areas in California and New York is $116,000 - $218,500. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
This position is incentive plan eligible.
Lockheed Martin is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.

With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.

If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.
Experience Level: Experienced Professional
Business Unit: ENTERPRISE BUSINESS SERVICES
Relocation Available: Possible
Career Area: Artificial Intelligence
Type: Full-Time
Shift: FirstPDN-9d8bf932-2647-47ec-86c5-6da11522466c
Job Information
Job Category:
Information Technology
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Senior Reinforcement Learning (RL) Engineer
Lockheed Martin
Fort Worth, TX
Nov 22, 2024
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