Head of Computer Vision and Machine Learning

Dexterity, Inc.; Redwood City (CA); Presencial; USD 160.000 - 220.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity grants

Benefits

Descripción de la vacante

Dexterity, Inc. is seeking a Head of CV and ML to lead a talented team of machine learning and computer vision engineers focused on robotics perception and data analysis.

You will shape the architectural direction, supervise model development, training pipelines, and deployment at scale in a production robotics platform. You will mentor engineers, work across product and hardware teams, and stay current with semantic and instance segmentation research to keep our systems at the forefront of

Formación

• MS or PhD in Computer Science, or related discipline, or equivalent experience.
• 2+ years of experience leading a team of Computer Vision or Machine Learning engineers.
• At least 5 years of experience in building ML datasets, data pipelines and serving architecture.
• Creating a culture of developing high quality models, tests and regressions.
• Strong knowledge of Modern C++ and Python.
• Experience building, maintaining and improving production code.
• Experience with Docker and Kubernetes.
• Cloud infrastructure knowledge (AWS, GCP, Azure) for training/serving pipelines.

Responsabilidades

• Lead CV and ML team to develop models, training pipelines, and deployment within a robotics platform.
• Oversee architecture decisions and identify opportunities to improve systems.
• Stay current with semantic/instance segmentation research and implement advances in PyTorch or TensorFlow.
• Mentor developers and ensure end-to-end data gathering, model evaluation, and deployment pipelines.

Conocimientos

Modern C++

Python

Production code

Team leadership

ML datasets

Data pipelines

CV/ML teamwork

Educación

MS or PhD in Computer Science

Herramientas

Docker

Kubernetes

PyTorch

TensorFlow

Descripción del empleo

About Dexterity

At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.

Job Description

Job Description

About Dexterity

At Dexterity, we believe robots can positively transform the world. Our breakthrough technology frees people to do the creative, inspiring, problem-solving jobs that humans do best by enabling robots to handle repetitive and physically difficult work.

We’re starting with warehouse automation, where the need for smarter, more resilient supply chains impacts millions of lives and businesses around the world. Dexterity's full-stack robotics systems pick, move, pack, and collaborate with human-like skill, awareness, and learning capabilities. Our systems are software-driven, hardware-agnostic, and have already picked over 15 million goods in production. And did we mention we’re customer-obsessed? Every decision, large and small, is driven by one question – how can we empower our customers with robots to do more than they thought was possible?

Dexterity is one of the fastest growing companies in robotics, backed by world-class investors such as Kleiner Perkins, Lightspeed Venture Partners, and Obvious Ventures. We’re a diverse and multidisciplinary team with a culture built on passion, trust, and dedication. Come join Dexterity and help make intelligent robots a reality!

Required Skills

• MS or PhD in Computer Science, or a related discipline, or equivalent experience.
• 2 or more years of experience leading a team of Computer Vision or Machine Learning engineers.
• At least 5 years of experience in building ML datasets, data pipelines and serving architecture.
• Creating a culture of developing high quality models, tests and regressions
• Strong knowledge of Modern C++ and Python.
• Experience building, maintaining and improving production code.

Nice To Haves

• Experience with Docker and Kubernetes.
• Experience with cloud infrastructure such as AWS, GCP, Azure etc. and experience using this infrastructure to create training and serving pipelines.

About The Role

As the Head of CV and ML, you will be leading a team of highly qualified and talented Machine Learning and Computer Vision engineers working on Dexterity’s computer vision and data analysis initiatives. The role will involve understanding our current products and future requirements and bringing your substantial expertise to augment the products and help us to meet the future requirements. Previous experience leading CV and ML teams to create CV models, large training sets as well as robust regression pipelines is a prerequisite for this role.

We are very interested in expertise around the subfields of semantic segmentation and instance segmentation and you will be involved in keeping up to date with the latest research papers in these areas and implementing them using platforms like PyTorch or TensorFlow. Robotics data also comes in a variety of different forms that are targets for models to help us predict and analyze behaviors emerging from our robotics systems. You will oversee the overall architecture and lead development of the perfect models, in addition to identifying additional opportunities throughout our system that can be solved with machine learning.

In order to thrive in this role you will have significant experience with RGBD datasets and point clouds as they are important to the type of problems you will encounter in robotics. You will have solid experience in writing optimized code in c++ and python and mentoring other developers. You will have experience architecting models, training pipelines and serving infrastructure at scale. The end to end process of gathering and augmenting data, creating balanced training/validation/regression sets, studying the performance of different models and optimizing their quality, and finally deploying and troubleshooting the models as part of a complex robotics system will be under your supervision.

Our Total Rewards philosophy is designed to recognize contributions toward meaningful innovation. Base pay is one component of a broader compensation package that may include equity grants, benefits, and other incentives, depending on role and eligibility.

For this position, the expected base salary range is $160,000 to $220,000 annually. Actual compensation will be determined based on skills, experience, education, and market factors, and may vary accordingly.

Final compensation decisions are made individually and take a number of factors into consideration. Eligible employees may be considered for equity awards as part of their overall compensation. Access to benefits and wellness resources is provided in accordance with company policies and may vary based on role and location.

Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.