AI / Machine Learning Engineer (early career, hybrid)
Lockheed Martin
Job ID: 683722BR Date posted: Jan. 09, 2025 Program: LAIC
Description:The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated individual with a strong working knowledge of software engineering, artificial intelligence, and machine learning to support the Applied AI organization as well as the LAIC’s broader product portfolio.
This Applied AI organization is composed of small, agile teams that rapidly mature solutions from research prototypes to fielded systems. The selected candidate will focus on developing solutions that harness artificial intelligence to deliver differentiating capabilities for our customers. This role will encompass every phase of the software development lifecycle from requirements generation to flight testing. This may entail:
· Research into state-of-the-art AI, ML, Autonomy and CV techniques.
· Software system design and implementation using TDD.
· Optimization for deployment onto low SWaP embedded systems.
· Integration with UAVs, UGVs, and other target platforms.
· Live system demonstration at flight events and other engagements.
The software systems span a broad range of Technology Readiness Levels (TRL) from proof-of-concepts and prototypes to production solutions demonstrated to internal and external stakeholders. The selected candidate can expect to utilize modern ML paradigms drawn from computer vision, deep learning, and reinforcement learning to solve the complex problems faced by our customers.
The selected candidate must have a strong work ethic and exhibit effective 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 at the LAIC Headquarters in Shelton, CT.
#LMLAIC
Basic Qualifications:
· Bachelor's degree in computer science, engineering, or another related discipline.
· Experience using machine learning and/or deep learning frameworks (e.g. PyTorch).
· Experience with Python.
· Experience with version control tools and best practices (e.g. git, svn, GitLab, GitHub).
· Familiarity with application development on headless Linux systems.
· Familiarity with modern containerization tools like Docker, Podman, Docker Compose, and K8s.
· Must be a US Citizen.
Desired Skills:
· Master's degree in computer science, engineering, or another related discipline.
· Experience optimizing ML models for embedded systems (TensorRT, ONNX, etc.)
· Experience with C/C++, Go, Rust, or other compiled languages.
· Experience with modern computer vision techniques.
· Familiarity with software engineering best practices.
· Familiarity with high-performance computing paradigms.
· Familiarity with messaging frameworks (Protobuf, ZeroMQ, RESTful APIs, gRPC, AMQ, Kafka)
· Familiarity with robotics or embedded applications projects
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
Description:The Lockheed Martin Artificial Intelligence Center (LAIC) team is seeking a highly motivated individual with a strong working knowledge of software engineering, artificial intelligence, and machine learning to support the Applied AI organization as well as the LAIC’s broader product portfolio.
This Applied AI organization is composed of small, agile teams that rapidly mature solutions from research prototypes to fielded systems. The selected candidate will focus on developing solutions that harness artificial intelligence to deliver differentiating capabilities for our customers. This role will encompass every phase of the software development lifecycle from requirements generation to flight testing. This may entail:
· Research into state-of-the-art AI, ML, Autonomy and CV techniques.
· Software system design and implementation using TDD.
· Optimization for deployment onto low SWaP embedded systems.
· Integration with UAVs, UGVs, and other target platforms.
· Live system demonstration at flight events and other engagements.
The software systems span a broad range of Technology Readiness Levels (TRL) from proof-of-concepts and prototypes to production solutions demonstrated to internal and external stakeholders. The selected candidate can expect to utilize modern ML paradigms drawn from computer vision, deep learning, and reinforcement learning to solve the complex problems faced by our customers.
The selected candidate must have a strong work ethic and exhibit effective 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 at the LAIC Headquarters in Shelton, CT.
#LMLAIC
Basic Qualifications:
· Bachelor's degree in computer science, engineering, or another related discipline.
· Experience using machine learning and/or deep learning frameworks (e.g. PyTorch).
· Experience with Python.
· Experience with version control tools and best practices (e.g. git, svn, GitLab, GitHub).
· Familiarity with application development on headless Linux systems.
· Familiarity with modern containerization tools like Docker, Podman, Docker Compose, and K8s.
· Must be a US Citizen.
Desired Skills:
· Master's degree in computer science, engineering, or another related discipline.
· Experience optimizing ML models for embedded systems (TensorRT, ONNX, etc.)
· Experience with C/C++, Go, Rust, or other compiled languages.
· Experience with modern computer vision techniques.
· Familiarity with software engineering best practices.
· Familiarity with high-performance computing paradigms.
· Familiarity with messaging frameworks (Protobuf, ZeroMQ, RESTful APIs, gRPC, AMQ, Kafka)
· Familiarity with robotics or embedded applications projects
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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