Director of Computer Vision and Machine Learning

DexterityRedwood City

On-site Full-time

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Experience Level

Manager

Qualifications

Key Qualifications:Master’s or PhD in Computer Science or a related field, or equivalent practical experience. A minimum of 2 years of experience in a leadership role managing a team of Computer Vision or Machine Learning engineers. At least 5 years of experience in developing ML datasets, data pipelines, and architecture. Proven ability to foster a culture of high-quality model development, testing, and regression analysis. Strong proficiency in Modern C++ and Python programming languages. Experience in building, maintaining, and enhancing production code.

About the job

About Dexterity:

At Dexterity, we envision a future where robotics revolutionizes industries and enhances lives. Our cutting-edge technology empowers individuals to engage in innovative and inspiring roles by allowing robots to take on repetitive and physically demanding tasks.

We are pioneering warehouse automation, addressing the critical need for intelligent and resilient supply chains that impact millions globally. Dexterity’s comprehensive robotics systems are capable of picking, moving, packing, and collaborating with human-like dexterity, awareness, and learning capabilities. Our software-driven, hardware-agnostic solutions have successfully handled over 15 million items in production. Our customer-centric approach drives every decision we make, as we focus on empowering our clients to achieve unprecedented levels of productivity with our robotic solutions.

Dexterity stands out as one of the fastest-growing companies in robotics, supported by renowned investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. Our diverse, multidisciplinary team thrives in a culture of passion, trust, and commitment. Join us at Dexterity and contribute to making intelligent robots a reality!

About Dexterity

Dexterity is at the forefront of robotics innovation, dedicated to transforming industries through intelligent automation. With a commitment to excellence and a strong customer focus, we are reshaping the future of work and enhancing lives across the globe.

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