
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.
🕒 Janeiro 30
🇺🇸 Estados Unidos – Remoto (EUA)
⏰ Tempo Integral
🔴 Especialista
🤖 Inteligência Artificial
🦅 Patrocina Visto H1B
👻 Score fantasma 55%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

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.
• Define and champion the overall AI strategy and roadmap in alignment with the company's product vision and business goals. • Lead the selection and integration of advanced machine learning models, algorithms, and deep learning techniques relevant to embodied AI (e.g., perception, manipulation, natural language understanding). • Foster a culture of innovation, rigorous research, and responsible AI development that supports the team's ongoing success. • Ensure that all AI systems adhere to the highest standards of safety, privacy, and ethical guidelines. • Partner with Hardware and Robot Software leadership to ensure the sensor suite and embedded compute are optimized for current and future AI model architectures. • Oversee the design, development, and deployment of on-robot and cloud-based AI systems, leveraging the existing team's expertise. • Establish MLOps best practices for efficient model training, deployment, monitoring, and iteration. • Drive research into novel AI solutions for complex robotics challenges, such as real-time planning, human-robot interaction, and adaptive motor control. • Deliver production-ready AI models that meet performance, latency, and reliability requirements for commercial deployment. • Spearhead the Sim2Real strategy, utilizing physics-based simulation (e.g., MuJoCo, Isaac Sim) to train robust policies that transfer seamlessly to hardware. • Accelerate our data flywheel strategy to combine teleoperation, synthetic data, and fleet learning to expand the fleet performance and reliability. • Champion the existing team's talent and represent their needs to senior leadership. • Develop a comprehensive hiring plan to staff and scale the AI team, including defining required roles (e.g., ML Engineers, Data Scientists, AI Researchers). • Lead recruitment, mentorship, and career development for all members of the AI team. • Manage the budget allocated for team salaries, equipment, and necessary infrastructure. • Forecast and manage the budget for cloud computing resources (GPUs, TPUs) necessary for large-scale model training and experimentation. • Secure and allocate funding for specialized datasets and data annotation services. • Evaluate and procure necessary software licenses and tools for AI development and simulation. • Regularly report on expenditure and resource utilization to senior leadership.
• 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 senior leadership or directorial 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 significant technical budgets and scaling high-performance engineering and research teams. • Experience deploying models on resource-constrained edge devices, balancing inference speed, power consumption, and thermal limits.
• 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. • Time Off: 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.
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