Staff Engineer, Reinforcement Learning (R3639)

Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices in San Diego, Dallas, Washington, D.C., Boston, Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI's technology actively supports U.S. and allied operations worldwide. For more information, visit

www.shield.ai.

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JOB DESCRIPTION :

Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI's technology actively supports U.S. and allied operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X and Instagram.

The Hivemind Pilot team is an agile group of engineers focused on building a state-of-the-art Autonomy Software Development Kit (SDK) that enables resilient autonomy and intelligence for a wide range of platforms in diverse environments. The Behavior and Motion Planning team in Pilot develops and integrates algorithms that enable robots to make smart decisions and navigate safely. The team also rigorously tests these systems to ensure reliable performance in real-world environments.

As a member of Behavior and Motion planning team, you will leverage your expertise in robotics and Reinforcement Learning (RL) to develop, deploy, and optimize models for autonomous systems that operate in complex, real-world environments. You will collaborate with cross-functional teams to deliver robust, scalable solutions that advance the state of Hivemind SDK. You will also contribute to developing technical requirements, test plans, and validating the performance of algorithms and models.

What You'll Do :

• Design, implement, and deploy reinforcement learning algorithms for a variety of platforms
• Collaborate with teams across the organization to integrate RL solutions that meet customer specifications
• Analyze and optimize performance of deployed RL models in dynamic environments
• Develop tools and infrastructure to support large-scale training, simulation, and evaluation
• Mentor and provide technical guidance to junior engineers
• Stay current with the latest advancements in RL, and apply them to solve challenging problems
• Contribute to the design and architecture of scalable, maintainable software systems

Required Qualifications :

Preferred Qualifications :

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Full-time regular employee offer package :

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package :

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed toequal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

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