Head of AI Research

About Applied Intuition: Advanced Vehicle Technology Solutions

Applied Intuition stands at the forefront as a premier supplier of software solutions aimed at the acceleration of the global adoption of safe, intelligent machinery. Since our inception in 2017, we've been dedicated to providing top-tier simulation and validation platforms across multiple industries, including automotive, trucking, and construction. We are proud that 18 of the top 20 global automotive manufacturers trust our solutions to enhance development cycles, ensure system quality, and fast-track the production of innovative vehicles. With our headquarters in Mountain View, CA, and additional offices in Ann Arbor, MI, Washington, DC, Munich, Stockholm, Seoul, and Tokyo, Applied Intuition is shaping the future of intelligent machine deployment. Discover more about our impact at https://applied.co.

In-Office Innovation at Applied Intuition

Please note our commitment to fostering innovation through in-person collaboration. Our policy requires employees to work onsite at their designated Applied Intuition office five days a week.

Career Opportunity: Head of AI Research

Join us as the Head of AI Research, a pivotal role within Applied Intuition aimed at pioneering the research and development of groundbreaking machine learning technologies tailored for the automotive sector. You will have the opportunity to establish and guide a team of elite machine learning researchers and engineers dedicated to innovating capabilities that promote the adoption of intelligent, safety-first machinery.

Key Responsibilities:

• Cultivate and oversee a stellar team of applied researchers, driving the strategic vision for AI and machine learning within Applied Intuition.
• Spearhead new research initiatives, transition research into production, and pinpoint essential technologies for development, in collaboration with multidisciplinary teams.
• Engage directly with clients to gather AI capability requirements, ensuring alignment with market needs.

Ideal Candidate Profile:

• Holds a PhD in Computer Science, Physics, Robotics, or a related field.
• Boasts over 4 years of experience in the machine learning domain.
• Demonstrated leadership in managing machine learning research teams.
• A track record of published research and/or presentations at leading conferences such as CVPR, ICLR, ICRA, and NeurIPS.
• Proven expertise in autonomous driving research.

Compensation:

The annual salary range for this influential position spans from $65,000 USD to $400,000 USD, contingent on Applied Intuition's comprehensive compensation strategies.

Embrace the chance to significantly influence the evolution of autonomous systems development and validation, shaping the future of intelligent machine technology with Applied Intuition.