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Staff AI/ML Machine Learning Engineer, Clearance Required with Security Clearance
•30 days ago
| Estimated Pay | $60 per hour |
|---|---|
| Hours | Full-time, Part-time |
| Location | Herndon, Virginia |
Compare Pay
Estimated Pay We estimate that this job pays $59.89 per hour based on our data.
$34.59
$59.89
$86.72
About this job
Description:The coolest jobs on this planet... or any other... are with Lockheed Martin Space! At the dawn of a new space age, Lockheed Martin is a pioneer, partner, innovator and builder. Our amazing people are on a mission to make a difference in the world and every single day we use our skills and experiences to create, design and build solutions to some of the worlds' hardest engineering problems. Our culture encourages employees to dream big, perform with excellence and create incredible products. We provide the resources, inspiration and focus and if you have the passion and courage to dream big, we want to build a better tomorrow with you. This position is with the new Cognitive and Advanced Strategic Solutions (CASS) group within Lockheed Martin Space. We are seeking a Staff AI/ML Machine Learning Engineer, to support several Machine Learning programs in the CASS portfolio. Our team works at the intersection of artificial intelligence and edge solutions, solving some of the most challenging problems in space.
In this role, you will work collaboratively with software architects, data scientists, AI/ML research engineers, mathematicians, physicists, and software engineers across the CASS portfolio on some of the most exciting and rewarding missions at Lockheed Martin Space. You will design, develop, and mature advanced solutions to real-world problems and have opportunities to explore and integrate emergent technologies.
Basic Qualifications:
• Demonstrated proficiency in Python scripting and/or object-oriented development (Java, C++, C#) • Experience with artificial intelligence, machine learning, deep learning, computer vision, and/or image processing
Desired Skills:
• Experience in remote sensing phenomenologies (for example EO/IR/SAR) • Experience with TensorFlow, PyTorch, Keras, and/or scikit-learn • Experience with cloud computing platforms or services (AWS, Domino, Azure, etc.) • Experience with DevSecOps tools and practices • Demonstrated ability to effectively communicate complex design information, technical decisions, and issues to both highly technical and non-technical stakeholders • Strong problem solving skills, business acumen, and demonstrated excellent oral and written communication skills
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Top Secret with an investigation within 5 years
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: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
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: 9x80 every other Friday off
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.
Join us at Lockheed Martin, 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, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin 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: SPACE
Relocation Available: Possible
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First
In this role, you will work collaboratively with software architects, data scientists, AI/ML research engineers, mathematicians, physicists, and software engineers across the CASS portfolio on some of the most exciting and rewarding missions at Lockheed Martin Space. You will design, develop, and mature advanced solutions to real-world problems and have opportunities to explore and integrate emergent technologies.
Basic Qualifications:
• Demonstrated proficiency in Python scripting and/or object-oriented development (Java, C++, C#) • Experience with artificial intelligence, machine learning, deep learning, computer vision, and/or image processing
Desired Skills:
• Experience in remote sensing phenomenologies (for example EO/IR/SAR) • Experience with TensorFlow, PyTorch, Keras, and/or scikit-learn • Experience with cloud computing platforms or services (AWS, Domino, Azure, etc.) • Experience with DevSecOps tools and practices • Demonstrated ability to effectively communicate complex design information, technical decisions, and issues to both highly technical and non-technical stakeholders • Strong problem solving skills, business acumen, and demonstrated excellent oral and written communication skills
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Top Secret with an investigation within 5 years
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: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
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: 9x80 every other Friday off
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.
Join us at Lockheed Martin, 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, Lockheed Martin's vast team works with partners around the world to bring proven performance to our customers' toughest challenges. Lockheed Martin 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: SPACE
Relocation Available: Possible
Career Area: Artificial Intelligence
Type: Full-Time
Shift: First
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