AI / Machine Learning Engineer Sr (on-site, mid-career)

1 day ago

Moorestown, United States Lockheed Martin Corporation Full time

Description:The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a high energy experienced individual with a strong background 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 field test. Activities can range from low TRL research, proof of concepts, development of prototypes, building demonstrators, and transition to production. A successful candidate will also be able to assume technical lead responsibilities, engage and present to internal and external stakeholders, and mentor junior engineers.

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

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.

The selected candidate will work full time in the Moorestown, NJ facility.
Basic Qualifications:
· Bachelor’s Degree in Engineering, Computer Science, or other related discipline

· Experience using machine learning frameworks

· Experience with modern Computer Vision techniques

· Experience with Python

· Experience with C++, Java, GO, Rust or other compiled languages

· Experience performing integration and test on classified programs

· Experience developing applications on Linux

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

· Experience with high-performance computing

· 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)

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

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

· Experience leading other engineers or small teams

· Familiarity with transitioning prototype software to production
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

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