Artificial Intelligence & Machine Learning Tech Lead & Asc Manager

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Lockheed Martin Rotary and Mission Systems (RMS) Artificial Intelligence (AI) team is seeking motivated functional first line manager with a strong background in software engineering, DevOps, artificial intelligence and machine learning to support the RMS AI team and specifically focused in our Antisubmarine Warfare (ASW) portfolio.

The RMS AI Engineering & Technology team is passionate about a broad range of projects from research & development to prototype development, culminating in deployment of our products to customers. We are on the cutting edge, inserting AI into defense systems, delivered through our AI Software Factory. This role will get an outstanding mix with research, prototype development, and software to hardware toolchain development all within the domain of AI / ML programs.

The RMS AI team has an immediate opportunity for a multifaceted, hardworking, motivated leader who wants to join our team. This role is responsible for leading teams as a functional manager and a technical lead / primary investigator for the development of technologies and products that leverage artificial intelligence and machine learning to provide discriminating capability to our customers. This requires engagement in every phase of the system development lifecycle including: requirements generation, system and software design, integration & test, and verification & validation of AI systems. Activities will range from low TRL research, development of prototypes, building demos, and transitioning to production. Additional responsibilities include classified environment lab planning and execution, hardware management for customer deployments and coordinating cyber activities.

From a functional perspective, the candidate will provide career development & guidance for talent development, perform merit and salary actions, develop training plans, and support recruiting, hiring and staffing activities, as well as manage functional budgets.

In addition, the selected candidate will support the development of product line road maps, pursue new business opportunities, external engagements, and assist in new business captures.

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 will be expected to assume technical lead responsibilities & lead teams, ensure standard methodologies, take ownership of critical tasks, and mentor junior engineers. This role may be based at any RMS site, or remotely via telecommuting depending on program needs.

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.

In addition to the responsibilities highlighted above we offer extensive benefits to include competitive 401k and insurance. We remain an equal opportunity company.

Basic Qualifications:

• Experience leading people (functional first line leadership) & proven experience leading virtual teams
• Proven leadership experience in engineering assignments and successful results in leading and executing on software intensive programs
• Engineering Project Manager (EPM) experience (inclusive of cost, schedule, and technical management)
• Experience with AI/ML domain programming languages (e.g. Python, C++, Java, GO, MatLab)
• Experience with AI/ML models, and a knowledge of machine learning frameworks and deep learning toolsets (e.g. SciKit-learn, TensorFlow PyTorch, Caffe, Keras)
• DevOps experience including CI/CD pipelines to build, test, deploy
• Familiarity with high-performance computing
• Experience with one or more of the AI disciplines (e.g. Natural Language Processing, Anomaly Detection, Markov Chain and Monte Carlo (MCMC) Methods, Machine Learning, Predictive Modeling, Statistical Analysis and Hypothesis Testing)
• Strong problem solving mindset: ability to develop create solutions to difficult problems often requiring integration of conflicting and, at times, ambiguous or incomplete data on a fast-paced schedule
• Demonstrated ability to effectively communicate complex design information, technical decision and issues to both highly technical and non-technical peers
• Ability to build and maintain relationships, collaborate with others, engage in constructive conflict, and manage interpersonal dynamics
• Comfortable working in a fast paced and dynamic multi-disciplinary environment
• Strong understanding of the engineering development process 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

Desired Skills:

• Experience with sonar, sensor processing, and algorithm development
• Experience with Model Based Systems Engineering
• Experience architecting complex systems
• Experience establishing complex system requirements
• Experience defining system interface points for integration with other systems
• Active security clearance

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: 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.