Senior Manager, Learning from Demonstration

🕒 6 dias atrás

🏄 California, Oregon, +1 estados a mais – Remoto

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💵 $268.000 - $364.000 / ano

⏰ Tempo Integral

🟠 Sênior

👔 Gerente

🦅 Patrocina Visto H1B

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👻 Score fantasma 10%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Agility Robotics

Agility Robotics

201 - 500 funcionários

Fundada em 2017

📦 Logística

🏭 Manufatura

🔧 Hardware

Logistics • Manufacturing • Hardware

Começamos com avanços científicos e acrescentamos a isso engenharia de classe mundial. Abordamos tudo com foco na função. Nossos robôs foram projetados desde o primeiro dia para trabalhar e realizar o serviço.

Descrição

• Oversee the lifecycle of innovation projects, from initial research and whiteboarding to proof-of-concept deployment on humanoid platforms. • Own the success of the AI Innovation program, holding themselves and the team accountable for quality and delivery. • Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control. • Accelerate the data flywheel strategy by combining teleoperation, synthetic data, and fleet learning to expand fleet performance and reliability. • Partner with Hardware and Robot Software teams to optimize next-generation sensor suites for future AI architectures. • Champion the existing team's talent and represent their needs to senior leadership. • Manage performance cycles, create individualized development plans, and lead hiring to scale the AI Innovation team. • Foster a safe and collaborative environment encouraging open dialogue and learning from failed experiments.

🎯 Requisitos

• Advanced degree (M.S. or Ph.D.) in Computer Science, Robotics, Electrical Engineering, or a related field. • Minimum of 8 years of experience in AI/ML, with at least 3 years in a management role. • Demonstrated experience in developing and deploying real-time AI solutions for robotics, autonomous systems, or other mission-critical applications. • Strong expertise in core AI domains, including computer vision, reinforcement learning, and large language models (LLMs) applied to robotics. • Proven track record of managing scaling high-performance engineering or research teams. • Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits. • All roles are U.S.-based; applicants must have current authorization to work in the United States.

🏖️ Benefícios

• 401(k) Plan: Includes a 6% company match. • Equity: Company stock options. • Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. • Benefit Start Date: Eligible for benefits on your first day of employment. • Well-Being Support: Employee Assistance Program (EAP). • Time Off: Exempt Employees: Flexible, unlimited PTO and 12 company holidays, including a winter shutdown. • Time Off: Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 company holidays, including a winter shutdown, annually. • On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. • Parental Leave: Generous paid parental leave programs. • Work Environment: A culture that supports flexible work arrangements. • Growth Opportunities: Professional development and tuition reimbursement programs. • Relocation Assistance: Provided for eligible roles. • Annual Discretionary Bonus: Provided for eligible roles.

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