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Staff AI Research Engineer / Machine Learning / Littleton, CO

Littleton, Colorado

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At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges.

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Your Health, Your Wealth, Your Life: Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work.

Empowered to Be Your Best: Use your strengths to make a difference in the lives of one another, our customers, our communities and our planet.

Commitment to Sustainability: We foster innovation, integrity and security to preserve the environment, strengthen diverse communities and propel growth.

Here, the possibilities are endless because we offer:

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“Before I came to Lockheed Martin, I never thought I’d get these opportunities. The benefits available and the company’s value culture make it an incredibly supportive place to work, and I’m grateful to work somewhere that wants me to succeed. I hope to have a long career here making an impact, and I know I’ll be supported in doing that every step of the way.”

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Job Responsibilities

Staff AI Research Engineer / Machine Learning / Littleton, CO

Littleton, Colorado

Job ID: 599404BR Date posted: Jun. 13, 2022 Locations: Littleton, Colorado COVID-19 continues to significantly impact our employees, families and communities. With employee health and safety as our top priority, and as a federal contractor, Lockheed Martin is taking action to address the increased risk and uncertainty COVID-19 variants pose in the workplace and ensuring we meet our commitments to national security.

To uphold safety for all employees, we will continue to request vaccination status for all Lockheed Martin employees including new hires. All current and newly hired employees are required to follow onsite safety measures based upon the COVID-19 Community Level at the specific work location.
Description:Lockheed Martin is looking for a mid to senior-level AI Machine Learning Research Engineer to join our Autonomous Systems business in Littleton, Colorado. At this location our Autonomous Systems business has experience in research and application of independent decision-making capabilities on robotic vehicles and systems. Employees focus on three core competencies — perception, planning, and control — to create robust and dependable products across its platforms.
-In this exciting and groundbreaking role, the research engineer will have the opportunity to lead the development of various AI and Machine Learning applications across a few very interesting product lines.
-The work will include Artificial Intelligence, Machine Learning, Deep Reinforcement Learning, Collaborative Autonomy, Inquisitive ISR, Vehicle Autonomy, and other cutting edge AI/ML applications.
-The engineer will have the opportunity to focus on research & development of technologies that enable and advance semi and fully autonomous systems for both defense and commercial customers.
-The engineer will have the opportunity to work directly with our Chief Engineer on key AI/ML development initiatives.
-The engineer will have the opportunity to serve as the algorithm expert working to enhance machine learning and robotic algorithms.
-The engineer will have the opportunity to investigate, optimize, and apply up-to-date knowledge on modern AI research with latest machine learning and deep learning techniques.
-The engineer will have the opportunity to develop AI/ML/DL algorithm implementation requirements.
-The engineer will have the opportunity to develop prototypes and will be involved in the inception of ideas and will drive the development cycles from research to test of prototypes.
-Key responsibilities will include researching and discovering improvements to machine learning and robotic algorithms and driving advancements in techniques used in signal processing, computer vision (CV), and control systems.
-The engineer will have the opportunity to interface with other teams involved in the development lifecycle for perception, mission and motion planning, simulation and modeling, testing, etc.
-The engineer will have the opportunity to mentor less experienced engineers.
-The engineer will have the opportunity to attend industry conferences and to keep up-to-date on related industry best practices and technological advancements.
-We offer a continuous learning environment with strong career growth and advancement opportunities.

Relocation: Relocation assistance is possible for this exciting position.
The Locale: Just a few miles south of Denver, Littleton, Colorado, is considered a sportsman’s paradise and flourishing community. Littleton offers the perfect balance between city and country life. Littleton is one of the most beautiful places to live in the US with its views of the Rocky Mountains and numerous outdoor activities. The South Platte River is an excellent venue for water sports and nearby Chatfield State Park features one of the largest lakes in the area. Roxborough State Park’s beautiful red rock formations provide breathtaking views with picturesque hiking and mountain biking trails. One of the best golf courses in the area is Littleton’s 18-hole Meadows Golf Course. Where can you get to from Littleton, Colorado? Colorado Springs is just an hour to the south. Boulder, CO is just 45 minutes to the northwest. Cheyenne, WY is less than 2 hours to the north. Vail, CO is just over two hours to the west.

Here's some additional info on our Lockheed Martin Littleton, Colorado Autonomous Systems Site.
Basic Qualifications:
-A Bachelor's degree from an accredited college in a related technical discipline, or equivalent experience/combined education, with 9 years of professional experience; or 7 years of professional experience with a related Master's degree in a technical field.
-A track record of research excellence in the autonomy/AI domain is required.
-Experience performing research within the fields of Artificial Intelligence (AI) and Machine Leaning (ML) and exploring related technologies is required.
-Strong knowledge and experience with developing, optimizing, and applying algorithms is required.
-Knowledge of machine learning and deep learning frameworks, theory, and practice and deep learning toolsets (eg. TensorFlow PyTorch, Caffe, Keras, etc.) is required.
-Experience designing and implementing ML techniques aimed at solving specific problems is required.
-Strong programming skills (eg Java, Python, MATLAB, and/or C/C++, CUDA) with ability to transition between languages as needed is required.
-Strong communications skills are required.
-The ability to collaborate effectively with other engineering disciplines and across teams and organizations is required.
-Ability to obtain a secret clearance is required.
Desired Skills:
-An advanced degree in a technical field is preferred
-Knowledge of application areas (computer vision, natural language processing, signal processing, etc.) is required.
-Experience with applications in supervised learning (eg. classification, regression, etc.), unsupervised learning (eg. clustering, dimension reduction, generative modeling, etc.) and reinforcement learning (eg. model-based or model-free methods) is strongly desired.
-Demonstrated history of building prototypes in rapid prototyping environment is desired.
-Prior experience working in a multi-disciplinary research team setting is desired.
-Experience working with product teams to integrate ideas or transfer technology into products is desired. Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.Clearance Level: Secret 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.Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.

Pay Rate:
In compliance with Colorado’s Equal Pay for Equal Work Act, the annual base salary range for this position is $125,600 - $209,400 . Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, internal peer equity, as well as, market and business considerations when extending an offer.

This position is incentive plan eligible
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. 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 ProfessionalBusiness Unit: MISSILES AND FIRE CONTROLRelocation Available: PossibleCareer Area: Autonomy Type: Full-Time Shift: First
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