AI / Machine Learning Research Engineer

Job Description:

Description:The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy individual with a strong working knowledge in software engineering, artificial intelligence and machine learning to support the Applied AI team and product portfolio, focusing on a broad range of projects across the LAIC. The team is focused on exploiting small, innovative and agile teams to rapidly iterate and mature solutions from prototypes to deployment for utilization across the Lockheed Martin 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 deployment. Activities will focus on low TRL research, proof of concepts, development of prototypes, A/B testing, and translating research into demonstrators with expected support for transition to production, integration, and deployment. 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.

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 whats right, respecting others and performing with excellence. Learn more here: Global DEI.

Must exhibit self-motivation, a strong work ethic, time management and interpersonal skills.

The selected candidate will work a hybrid schedule at LAIC Headquarters in Shelton, CT. Remote will be considered for the right candidate.

LMLAIC
Basic Qualifications:
Bachelor’s Degree in Engineering, Computer Science, Physics, Mathematics, or other related discipline

Experience using machine learning frameworks

Experience with Python and/or multiple libraries (NumPy, Pytorch, OpenCV, Scikit, Pandas, etc.)

Familiarity with modern Computer Vision or Autonomy research

Must be a US Citizen.
Desired Skills:
Master’s Degree in Engineering, Computer Science, Physics, Mathematics, or other related discipline

Experience with modern Computer Vision

Experience with applying research to real-world problems

Published papers in a scientific or related domain

Experience developing applications on Linux

Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]

Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL)

Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime)

Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices)

Familiarity with network programming (e.g. Socket programming with TCP and UDP)

Familiarity with C++, C, GO, Rust, or other compiled languages

Familiarity with high-performance computing

Familiarity with service-to-service messaging (e.g. gRPC, Kafka, ActiveMQ, ZeroMQ, RabbitMQ, DDS, RESTful APIs, etc.)
Clearance Level: None
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
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.
Join us at , where your mission is ours. Our customers tackle the hardest missions. Those that demand extraordinary amounts of courage, resilience and precision. They’re dangerous. Critical. Sometimes they even provide an opportunity to change the world and save lives. Those are the missions we care about.

As a leading technology innovation company, ’s vast team works with partners around the world to bring proven performance to our customers’ toughest challenges. has employees based in many states throughout the U.S., and Internationally, with business locations in many nations and territories.
Experience Level: Experienced Professional
Business Unit: ENTERPRISE BUSINESS SERVICES
Relocation Available: Possible
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First

Master’s Degree in Engineering, Computer Science, Physics, Mathematics, or other related discipline

Experience with modern Computer Vision

Experience with applying research to real-world problems

Published papers in a scientific or related domain

Experience developing applications on Linux

Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]

Experience with hardware-accelerated computing for both CPUs and GPUs (e.g. CUDA, Intel oneAPI, SYCL)

Experience with model deployment software libraries and stacks (e.g. NVIDIA TensorRT, Triton Inference Server, OnnxRuntime)

Experience deploying AI-enabled systems in multiple environments (e.g. cloud, edge devices)

Familiarity with network programming (e.g. Socket programming with TCP and UDP)

Familiarity with C++, C, GO, Rust, or other compiled languages

Familiarity with high-performance computing

Familiarity with service-to-service messaging (e.g. gRPC, Kafka, ActiveMQ, ZeroMQ, RabbitMQ, DDS, RESTful APIs, etc.)

Job Ident #: 75783367824

Company Details

Lockheed Martin

6801 Rockledge Dr
Bethesda, Maryland 20817 USA
www.lockheedmartinjobs.com/

Lockheed Martin Corporation is an American global aerospace, defense, security and advanced technologies company with worldwide interests. It was formed by the merger of Lockheed Corporation with Martin Marietta in March 1995. It is headquartered in North...

Benefits:
TBD

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Job Info

Location

Shelton, Connecticut, United States

Type

Permanent

Company Details

Lockheed Martin

6801 Rockledge Dr
Bethesda, Maryland 20817 USA
www.lockheedmartinjobs.com/