AI Machine Learning Engineer Asc - INTERN

Key Skills

C++, Caffe, Java Programming, Keras software library, Machine learning techniques, Python Programming, PyTorch, Quantitative models, Scikit-learn, SQL, TensorFlow

Job Description

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 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 who are unvaccinated will be required to adhere to onsite safety protocols.

Description:

Open to Fall, Spring, Summer, and Winter Internships

The Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team is seeking motivated engineers with a background in software engineering, DevOps, artificial intelligence and machine learning to support the RMS AI team and product portfolio.

The RMS AI team has an immediate opportunity for an engineer with a strong software background. The candidate will apply AI and optimization techniques to develop unique and proprietary solutions to our customers’ challenges. If you have an interest and passion for making AI / ML, this role is for you! At Lockheed Martin, we are driven by innovation and integrity, and we are excited to bring cutting edge technology to our customers & their missions.

This role is expected to utilize current AI paradigms, algorithms, and models (e.g. deep learning, reinforcement learning, computer vision); applying these techniques in relevant domains to tackle sophisticated problems and create innovative solutions. This also requires a candidate to maintain awareness of emerging analytics, AI / ML, and domain-specific technologies. This role requires working within an Agile Scrum environment, including supporting sprint meetings (review, retrospective and planning), planning poker and backlog grooming.

This job is aligned with our 21st Century Security (21CS AI) initiative to help the U.S. and its allies leverage emerging technologies to deter threats to economic prosperity and national security.

Benefits of Employment:

To promote the sharing of ideas, Lockheed Martin champions an inclusive work environment that urges differences and big-picture thinking.

Our employees play an active role in strengthening the quality of life where we live and work by volunteering more than 850,000 hours annually. Here are some of the benefits you can enjoy:

• Medical many choices of plans; some LM locations have on-site medical
• Dental
• 401k with generous matching
• Paid time off including, we have a 9x80 schedule which means: 25 three-day weekends
• Work/life balance, family-friendly environment
• Career development, career-growth, and lots of learning opportunities for aspiring minds
• Fun, talented and witty teammates
• Knowledgeable, supportive and engaged leadership
• Diverse, inclusive and community-minded organization
• Mentorship opportunities
• Rewards & recognition
• Generous Tuition Reimbursement

We support our employees, so they can support our mission.

Basic Qualifications:

• Pursuing a Bachelor's or Master's Degree in Software Engineering, Computer Science, Machine Learning, or related STEM degree
• Experience with AI/ML domain programming languages (e.g. Python, C++, Java, GO)
• DevOps experience including CI/CD pipelines to build, test, deploy

Desired Skills:

• Sonar, Signal Processing, Math and/or Algorithm development experience
• Experience developing and deploying AI/ML models, and a knowledge of machine learning frameworks and deep learning toolsets (e.g. SciKit-learn, TensorFlow PyTorch, Caffe, Keras)
• High Performance Compute (HPC) / Cluster management experience
• Experience with software planning and execution throughout the requirements, development, design, build, test, and integration phases of a program & familiarity with transitioning prototype software to production, including rapid software prototyping experience to create minimal viable products for evaluation of options