AI/ML Engineer III

This role serves as the technical lead for AI/ML development on a fast-paced team prototyping new technologies - Sierra Nevada Company's Joint Task Force (JTF) Sierra. Our charter is to identify, test, develop and deploy new products to meet current and future operational challenges, and as an AI/ML Engineer III on our team, you will serve as the primary driver for AI/ML development projects focused on autonomy, perception systems, analytics developing rapid proof-of-concept builds, and performing demonstrations. This role requires not only advanced machine learning expertise, but also the ability to operate with high autonomy, set technical direction and develop technical requirements to meet high-level objectives, and mentor SNC engineers in AI/ML practices. This role will bridge the gap between high-level vision provided by senior technology directors and help set & accomplish day-to-day execution performed alongside software, systems, and other subject matter experts. You will ensure that AI/ML efforts are technically sound, aligned with mission objectives, and deliverable within rapid R D timelines. Role Expectations Specific to This Team (JTF Sierra)

• Serve as primary day-to-day AI/ML expert & performer - other team members are AI/ML learners or strategic-level advisors
• Rapidly define architecture, technical direction, and technical requirements for new AI/ML initiatives and prototypes without regular direct technical oversight
• Help Program Manager/Project Engineer identify staffing, tooling, and data required to accomplish new AI/ML prototypes, help advise and manage technical risks during execution
• Play a key role in shaping the entire organization's growing AI/ML capability over the next several years The ISR (Intelligence, Surveillance & Reconnaissance), Aviation, and Security (IAS) business area is a leader in ISR and aviation, it is a leading prime manned and unmanned aircraft systems integrator for innovative, high-performance ISR and aviation systems.

Its end-to-end Command, Control, Computers, Communications and Intelligence, Surveillance & Reconnaissance (C4ISR) capabilities encompass design, integration, test, certification, ground/flight training and complete logistics support. IAS tailors solutions to customer cost, performance, and schedule requirements and designs to consistently exceed expectations - with an unrivaled record of on time and on (or under) budget deliveries. Responsibilities Lead the design and development of advanced machine learning models, including deep neural networks, reinforcement learning systems, and generative AI algorithms, to solve complex problems. Architect scalable AI/ML systems that can integrate seamlessly with existing software and hardware platforms. Provide guidance on the selection of tools, frameworks, and infrastructure. Translate high-level conceptual guidance from leadership into actionable requirements, designs, roadmaps, and technical approaches. Collaborate with other engineer functions, hardware teams, product subject matter experts, and data scientists to align AI/ML solutions with mission-specific requirements and constraints. Shape system-level behavior and technical tradeoffs for AI/ML prototypes when requirements are evolving or ambiguous. Architect and build end-to-end AI/ML prototypes quickly, including data ingestion, feature engineering, training pipelines, model deployment, and evaluation. Work with Project Engineer/Project Manager to identify and manage technical risks, develop mitigation paths, and scope prototype schedule and manpower requirements. Coordinate with existing product engineering teams to integrate AI/ML prototype components into existing SNC products and/or larger autonomous systems and platforms. Develop and oversee robust validation and testing frameworks to ensure that AI/ML models meet performance, safety, and compliance standards in real-world scenarios. Coach engineering peers, providing technical guidance and fostering a collaborative, innovative team environment. Stay current with emerging AI/ML technologies and propose innovative solutions to address new and existing challenges in the aerospace and defense domain. Communicate technical concepts, project progress, and outcomes to stakeholders, including leadership and external partners, in a clear and concise manner. Independently train, fine-tune, and optimize advanced AI architectures (including transformers) for complex applications. Apply a broad range of AI/ML techniques (supervised, unsupervised, reinforcement, generative) to solve domain-specific challenges. Lead the development and integration of signal processing, computer vision, and planning algorithms to advance autonomous system functionality. Design and execute large-scale simulations and modeling of AI/ML systems, ensuring scalability, performance, and robustness on CPU/GPU platforms. Preparing & executing demonstration plans, technical briefings, and trade studies/case studies for leadership and program stakeholders Qualifications The Employee Must Have Experience delivering rapid prototypes or research models under tight schedule pressure. Comfort working with incomplete information and shaping requirements through experimentation. Strong communication skills for translating complex AI concepts to non‑AI specialists. Ability to mentor and "upskill" engineers with limited or developing AI/ML backgrounds. Bachelor's degree in computer science, mathematics, applied statistics, various engineering disciplines, or related STEM discipline 6+ years of experience in a related field. Relevant experience can be considered as a substitute for the required educational qualifications. In the absence of a degree, a minimum of 9 years of related experience is required. Higher level relevant degree may substitute for experience. Proficient in machine learning frameworks (e.g., TensorFlow, PyTorch) and skilled in implementing advanced AI/ML techniques, such as supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic), as well as working with generative AI models (e.g., transformers). Proficient in developing, deploying, and optimizing AI/ML models, including ANNs, CNNs, and RNNs, for production applications. Contributed to the design and scaling of systems for larger datasets or environments with moderate complexity. Strong proficiency in programming languages such as Python, C++, C# or Java, with experience in building scalable AI/ML systems. Demonstrated experience leading teams or projects, including mentoring junior staff. Proven track record of deploying AI/ML models in production environments and optimizing them for real-world use cases. Knowledge of regulatory and cybersecurity requirements for AI/ML systems in aerospace and defense applications Qualifications We Prefer Experience building the AI/ML technical function of a small or maturing team. Familiarity with early‑stage autonomy R D efforts or multi‑modal sensor fusion research. Experience integrating ML models into embedded, real‑time, or autonomous platforms. Demonstrated ability to establish ML engineering practices (MLOps, data versioning, model validation frameworks). Master's degree in Artificial Intelligence, Machine Learning, or related field. Experience leading teams or projects in aerospace and defense industries. Familiarity with cybersecurity and regulatory requirements. Proficient in Agile or DevOps workflows; active participant in iterative ML software development. Practical experience designing and implementing advanced ML techniques, such as clustering, dimensionality reduction, or generative modeling. Hands-on experience with GPU programming and using high-performance computing systems for ML workloads. Experience with at least one reinforcement learning or generative AI model (e.g., implementing GANs or Transformers). Able to analyze large-scale, heterogeneous datasets and apply advanced statistical and ML methods to real-world problems. Experience translating mission objectives into actionable system requirements, including HMI scenarios. Familiarity with hardware acceleration (e.g., CUDA, TensorRT) and introductory knowledge of edge AI or XAI.

Essential Functions:

Ability to lead and manage complex AI/ML projects. Travel occasionally to testing sites, customer locations, or conferences (up to 10-20%). Work in a hybrid environment, managing cross-functional teams and high-priority deliverables. This posting will be open for application for a minimum of 5 days and may be extended based on business needs.

Estimated Starting Salary Range:

$124,771.42 - $171,560.71. Compensation varies depending on a wide array of factors, such as candidates' key skills, relevant work experience, and education/training/certifications. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. SNC offers a generous benefit package, including medical, dental, and vision plans, 401(k) with 150% match up to 6%, life insurance, 3 weeks paid time off, tuition reimbursement, and more.

IMPORTANT NOTICE

This position requires the ability to obtain and maintain a Secret U.S. Security Clearance. U.S. Citizenship status is required as this position needs an active U.S. Security Clearance for employment. Non-U.S. citizens may not be eligible to obtain a security clearance. The Department of Defense Consolidated Adjudications Facility (DoD CAF), a federal government agency, handles the adjudicative aspects of the security clearance eligibility process for industry applicants. Adjudicative factors which affect the outcome of the eligibility determination include, but are not limited to, allegiance to the U.S., foreign influence, foreign preference, criminal conduct, security violations and illegal drug use. Learn more about the background check process for Security Clearances. SNC is a global leader in aerospace and national security committed to moving the American Dream forward. We're known and respected for our mission and execution focus, agility, and disruptive and rapid innovation. We provide leading edge technologies and transformative solutions that support our nation's most critical security needs. If you are mission-focused, thrive in collaborative environments, and want to make our country stronger with state-of-the-art technologies that safeguard freedom, join our team! SNC is an Equal Opportunity Employer committed to an environment free of discrimination. Employment decisions are made based on merit without regard to race, color, age, religion, sex, national origin, disability, status as a protected veteran or other characteristics protected by law. SNC is a trusted global leader in aerospace and national security. Our innovative solutions enable connected protection through command, control and communications systems, as well as ISR, cyber, electromagnetic spectrum management, and other high capabilities for systems across all domains - sea, land, air, space and cyber. As a longstanding leader in defense technology, SNC is the optimum intersection of commercial, defense and non-traditional contractors. We are one of the only privately owned mid-tier A&D contractors and we pride ourselves on our ability to invest early and often to ensure mission success on or ahead of schedule. It's part of our mission to always stay one step ahead; working on solutions today to solve the problems of tomorrow. Founded in 1963, SNC is owned by Chairwoman Eren Ozmen and CEO Fatih Ozmen.