AI / Machine Learning Research Engineer (early career)

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.

Job Code/Title

E9852:A/AI Mch Learn Engnr

Job 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.

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

The candidate will work remotely.

#LMLAIC

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.)

Other Important Information

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

Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings.

Select the Telework classification for this position

Employee that will telework full-time

Ability to Telecommute

Full time telecommuter

Shift

First

Work Schedule Information

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.

Work Schedule

4x10 hour day, 3 days off per week

Security Clearance

None

LMCareers Business Unit

ENTERPRISE BUSINESS SERVICES

Program

LAIC

Department

50143:Artificial Intelligence

Job Class

Artificial Intelligence

Job Category

Experienced Professional

City, State

Palo Alto-CA, Shelton-CT

City

Palo Alto, Shelton

Zip

06484, 94304

Virtual

yes

Relocation/Housing Stipend Available

Possible

Req Type

Full-Time