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A/AI Machine Learning Engineer - job 1 of 2

Description:Join the Lockheed Martin Artificial Intelligence Center (LAIC) Team and Shape the Future of AIThe 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. If youre passionate about developing innovative solutions that leverage AI to provide discriminating capability to our customers, we want to hear from you!What You Will Be Doing:• Developing technologies and products that utilize Artificial Intelligence to solve complex problems and field innovative solutions• Engaging in every phase of the system development lifecycle, including:• Requirements generation• System and software design• Implementation• Integration• Flight test• Applying current AI paradigms, such as:• Computer vision• Deep learning• Reinforcement learning• Participating in low TRL research, proof of concepts, development of proto@types, building demonstrators, and transition to production• Collaborating with cross-functional teams to rapidly iterate and mature solutions from proto@types to deployment• Mentoring junior engineers and assuming technical lead responsibilities as neededResponsibilities:• Develop and maintain expertise in AI and machine learning technologies• Collaborate with customers to understand their needs and develop solutions that meet those needs• Work closely with the Applied AI team to develop and implement AI solutions• Participate in the development of proposals and whitepapers to secure funding for AI research and development projects• Engage with other Lockheed Martin teams to identify opportunities for AI adoption and applicationWhat We Offer:• Opportunity to work on cutting-edge AI projects with a talented team of engineers• Collaborative and dynamic work environment• Professional development and growth opportunities• Competitive salary and benefits package• Opportunity to make a significant impact on the development of AI solutions for Lockheed Martin and our customersWhat’s In It For YouFrom 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 InclusionWe 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 whats right, respecting others and performing with excellence. Learn more here: Global DEI.Basic Qualifications:• Bachelor’s Degree in Engineering, Computer Science, or other related discipline• Experience using machine learning frameworks (Pytorch, Tensorflow, MxNet, Caffe, etc.)• Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, etc.)• Experience with C++, Java, GO, and other compiled languages• Must be a US Citizen.Desired Skills:• Master’s Degree in Engineering, Computer Science, or other related discipline• Experience developing applications on Linux• Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]• Experience with modern Computer Vision• Familiarity with high-performance computing• Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)• Familiarity interfacing with databases (SQL, MongoDB, etc.)• Familiarity with RF signal processingClearance Level: NoneOther Important Information You Should KnowExpression 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 weekLockheed 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.At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the worlds most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work.With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility.If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications.Experience Level: Experienced ProfessionalBusiness Unit: ENTERPRISE BUSINESS SERVICESRelocation Available: PossibleCareer Area: Artificial IntelligenceType: Full-TimeShift: First• Master’s Degree in Engineering, Computer Science, or other related discipline• Experience developing applications on Linux• Experience with DevOps tools: Docker, Git [GitLab, GitHub], Continuous Integration [CI], Continuous Deployment [CD]• Experience with modern Computer Vision• Familiarity with high-performance computing• Familiarity with network/messaging (UDP, ZeroMQ, RESTful API, etc.)• Familiarity interfacing with databases (SQL, MongoDB, etc.)• Familiarity with RF signal processing
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What You Should Know About A/AI Machine Learning Engineer, Lockheed Martin

Are you ready to take on an exciting role as an A/AI Machine Learning Engineer with Lockheed Martin in Moorestown, NJ? Join the innovative Lockheed Martin Artificial Intelligence Center (LAIC) and help shape the future of AI! In this dynamic position, you'll be engaged in developing cutting-edge AI technologies and products aimed at solving complex challenges. You will play a crucial role throughout the system development lifecycle — from gathering requirements and designing systems to implementation and flight testing. Your expertise in current AI paradigms, including computer vision and deep reinforcement learning, will help lead the charge in low TRL research and prototype development. Collaborating with cross-functional teams means that you'll not only innovate but also refine solutions from prototypes to full deployment, while simultaneously mentoring junior engineers and guiding them through technical challenges. If you’re passionate about leveraging AI to empower our customers and improve product capabilities, this could be the perfect opportunity for you! We pride ourselves on a collaborative and engaging work environment while offering competitive salaries and benefits. So, if you’re excited to push boundaries and think creatively in AI, Lockheed Martin is the place for you! Join us in building a better tomorrow, and take your professional development to the next level.

Frequently Asked Questions (FAQs) for A/AI Machine Learning Engineer Role at Lockheed Martin
What are the responsibilities of an A/AI Machine Learning Engineer at Lockheed Martin?

As an A/AI Machine Learning Engineer at Lockheed Martin, your primary responsibilities will include developing and implementing AI technologies to tackle complex issues. You'll participate in every phase of the system development lifecycle, engaging in requirements generation, software design, implementation, and testing. Additionally, you'll mentor junior engineers and work closely with customers to deliver tailored solutions.

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What qualifications do I need to become an A/AI Machine Learning Engineer at Lockheed Martin?

To be considered for the A/AI Machine Learning Engineer position at Lockheed Martin, a Bachelor’s Degree in Engineering, Computer Science, or a related field is required. Experience with machine learning frameworks and programming languages like Python, C++, and Java is essential. A Master’s Degree and proficiency in AI and deep learning will give you an advantage in this role.

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Is remote work available for the A/AI Machine Learning Engineer position at Lockheed Martin?

Yes! The A/AI Machine Learning Engineer position at Lockheed Martin offers part-time remote work options. You will work part of your schedule remotely while also collaborating at the Moorestown facility, allowing for flexibility in your work-life balance.

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What professional development opportunities does Lockheed Martin offer for A/AI Machine Learning Engineers?

Lockheed Martin prioritizes employee growth and development. As an A/AI Machine Learning Engineer, you will have access to various professional development programs that enhance your skills and knowledge, positioning you to advance in your career while working on innovative projects across the company.

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How does Lockheed Martin support diversity and inclusion within the A/AI Machine Learning Engineer role?

Lockheed Martin is committed to fostering a diverse and inclusive environment. In the role of A/AI Machine Learning Engineer, you will be part of a culture that values unique perspectives and collaborative ideas, encouraging innovation and creativity while respecting all differences.

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Common Interview Questions for A/AI Machine Learning Engineer
Can you explain your experience with machine learning frameworks as an A/AI Machine Learning Engineer?

When discussing your experience with machine learning frameworks, focus on specific projects where you’ve utilized tools like Pytorch or TensorFlow. Mention the challenges you faced, how you overcame them, and the results of your work, illustrating your ability to apply theoretical knowledge in practical settings.

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What role do you believe AI and machine learning will play in the future?

This is an opportunity to showcase your vision for AI's future impact across industries. Discuss emerging trends, ethical considerations, and the potential for AI to solve significant societal challenges, emphasizing how your work can contribute to these advancements.

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Describe a challenging problem you solved using AI or machine learning.

Provide a detailed example highlighting the complexity of the problem, your approach to leveraging AI/ML solutions, and the outcomes you achieved. Demonstrating your critical thinking and problem-solving skills will show your capability in this area.

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How do you stay updated with advancements in AI and machine learning technologies?

Mention specific industry publications, online courses, or conferences you follow. Highlight your commitment to continuous learning and how you integrate new knowledge into your work, which is crucial in a rapidly evolving field like AI.

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What has been your experience collaborating with cross-functional teams?

Illustrate your teamwork skills by sharing examples where you have worked with engineers, product managers, or clients. Emphasize your communication skills and how you effectively contributed to achieving shared objectives.

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Can you explain the importance of data preprocessing in machine learning?

Discuss how data preprocessing affects model accuracy and performance. Highlight your approaches to cleaning and preparing data, and provide examples of techniques you've applied in previous projects to ensure high-quality inputs.

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What methods do you use for evaluating machine learning models?

Describe the metrics you believe are essential, such as accuracy, precision, and recall. Share your experience with different evaluation techniques like cross-validation or A/B testing, demonstrating your knowledge of robust model assessment.

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How would you approach working on an AI project with low TRL?

Talk about the steps you would take to assess the current technology levels, identify objectives, and set realistic timelines. Emphasize your adaptability and creative problem-solving abilities in early-stage project environments.

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What programming languages do you feel most comfortable using as an A/AI Machine Learning Engineer?

Discuss programming languages such as Python, C++, and Java that you have experience with. Provide examples of projects where you have effectively utilized these languages, underlining your strengths and adaptability in coding.

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How do you prioritize tasks and manage time when working on multiple AI projects?

Share your strategies for time management and prioritization, such as using project management tools or setting deadlines. Discuss how you balance competing demands without sacrificing quality in your work.

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We solve complex challenges, advance scientific discovery and deliver innovative solutions to help our customers keep people safe.

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Full-time, hybrid
DATE POSTED
December 13, 2024

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