Senior Manager, AI Innovation

Stelle nicht auf LinkedIn

🕒 vor 3 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $268.000 - $364.000 / Jahr

⏰ Vollzeit

🟠 Senior

🤖 Künstliche Intelligenz

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mails für Remote-Jobs erhalten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Agility Robotics

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2017

🔧 Hardware

🤖 Künstliche Intelligenz

🏢 Unternehmen

Hardware • Artificial Intelligence • Enterprise

Agility Robotics ist ein führender Hersteller von mobilen Manipulationsrobotern, bekannt für ihren humanoiden Roboter Digit. Das Unternehmen konzentriert sich darauf, seine Roboter in kommerziellen Umgebungen, wie Materialhandlungsabläufen, einzusetzen, um die Produktivität in verschiedenen Branchen zu steigern, einschließlich Drittlogistik, Fertigung und Einzelhandel & E-Commerce. Mit ihrer innovativen Cloud-Automatisierungslösung Agility Arc bieten diese Roboter bahnbrechende Automatisierungslösungen. Agility Robotics zielt darauf ab, Arbeit zu revolutionieren, indem humanoide Roboter in Umgebungen integriert werden, in denen sinnvolle Arbeit und wirtschaftlicher Wert von entscheidender Bedeutung sind.

Beschreibung

• Oversee the lifecycle of innovation projects, from initial research and whiteboarding to "proof-of-concept" deployment on humanoid platforms. • Owns 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 our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability. • Partner with Hardware and Robot Software teams to ensure that next-generation sensor suites are optimized 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 within the team, encouraging open dialogue and the freedom to learn from failed experiments.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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 10 company holidays, including a winter shutdown. • Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 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.