AI/ML Engineer

Lockheed Martin • Orlando, CO

3d • Remote

About The Position

The Lockheed Martin Artificial Intelligence Center (LAIC) is seeking a highly skilled leader to head the AI Consulting portfolio, a role that requires a unique blend of technical expertise in software engineering and AI/ML, as well as strong business acumen and communication skills. This is an exciting opportunity to lead the development and deployment of AI solutions that can drive business value and innovation across the Lockheed Martin enterprise. With a focus on collaboration, innovation, and technical expertise, this role is perfect for a seasoned professional looking to make a significant impact in the field of AI.

Requirements

• Bachelor's degree in Engineering, Computer Science, or a related field, with at least 5 years of professional experience. Alternatively, a Master's degree with 3 years of professional experience.
• Significant experience in applying machine learning techniques to business problems (natural language processing, deep learning, anomaly detection, reinforcement learning).
• Experience with Python, Typescript, or compiled languages like C++, Golang, etc
• Experience with developing software and software engineering best practices.
• Must be a US Citizen

Nice To Haves

• Experience working with Agile methodologies and projects
• Superlative communication and interpersonal skills.
• Master's degree or higher in Engineering, Computer Science, or a related field.
• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure), specifically containerizing and deploying AI/ML models.
• Certifications in AI/ML or related fields (e.g., TensorFlow Developer Certificate, AWS Certified Machine Learning).
• Experience leading a team of researchers and engineers.
• Familiarity with common Python libraries used for developing reinforcement learning applications: Gymnasium, rllib, Stable Baselines, RL Coach, etc.
• Experience with the design, implementation, and evaluation of models, agents, and software prototypes for real-world AI.
• Proven ability to bridge fundamental research into products. History of addressing real-world problems by integrating novel research.

Responsibilities

• Collaborating with business stakeholders to identify opportunities and develop AI solutions
• Modeling complex business and engineering problems using machine learning and feature engineering techniques
• Deploying AI capabilities and tracking projects through to completion
• Implementing best technical practices from the fields of machine learning and software engineering
• Creating knowledge materials to disseminate best practices to other AI and data science teams
• Meeting with data science leaders to teach and discuss best practices

Benefits

• 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
• Holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior