Dexterity, Inc.
Senior Computer Vision Engineer
Dexterity, Inc., Redwood City, California, United States, 94061
This range is provided by Dexterity, Inc.. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $160,000.00/yr - $200,000.00/yr
Overview In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and their limitations and bringing your expertise in Computer Vision and developing ML models. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy. You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like PyTorch, TensorFlow, etc. Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful. A solid grounding in writing optimized code in C++ and Python is required. Familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect of this role.
At Dexterity, our use cases require low latency inference that approaches real time, so you must be able to build highly performant models and serving architectures. You should have experience building your own models and setting up training pipelines, in addition to an understanding of open source solutions. The end-to-end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models in the field, will be under your purview.
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. We’re customer-obsessed — every decision is driven by how we empower our customers with robots to do more than they thought possible.
Dexterity is one of the fastest growing companies in robotics, backed by world-class investors. 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
BS/MS in Computer Science, Machine Learning or a related discipline, or equivalent experience
5 or more years of related work experience
Experience with OpenCV and Open3D
Prior experience building, training and deploying production ML models from scratch using PyTorch and TensorFlow
Strong knowledge of Modern C++ and Python
Experience using profilers and debuggers to optimize code
Experience building and maintaining production code
Experience with serving architectures like NVIDIA Triton, TorchServe and TensorFlow Serving, Flask and others
Strong academic background and knowledge of ML and academic papers
Experience with cloud infrastructure such as AWS, GCP, Azure etc. and using this infrastructure to create training and serving pipelines
Ability to trace and solve problems across interconnected systems, pipelines and applications
Experience with Git and modern CI pipelines
Nice to have
Experience with Docker and Kubernetes
Previous startup experience
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.
Notes Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity, depending on eligibility. The annual base salary range for this position is from $160,000 to $200,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education, etc. Decisions will be determined on a case-by-case basis.
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Base pay range $160,000.00/yr - $200,000.00/yr
Overview In this role at Dexterity, you will be working on writing Computer Vision code and building Machine Learning models for computer vision. The role will involve understanding our current systems and their limitations and bringing your expertise in Computer Vision and developing ML models. Additionally, you will be responsible for updating and scaling our current ML pipelines to cover more scenarios and improve accuracy. You will leverage your expertise around the subfields of semantic segmentation and instance segmentation, keep up to date with the latest developments in these areas and implement them using platforms like PyTorch, TensorFlow, etc. Experience with RGBD datasets and point clouds is very important to the type of problems you will encounter in this role and experience in the areas of ML and CV for autonomous vehicles or robotics is very useful. A solid grounding in writing optimized code in C++ and Python is required. Familiarity with cloud infrastructure to build training and serving pipelines is also a key aspect of this role.
At Dexterity, our use cases require low latency inference that approaches real time, so you must be able to build highly performant models and serving architectures. You should have experience building your own models and setting up training pipelines, in addition to an understanding of open source solutions. The end-to-end process of gathering, augmenting, labeling data and curating datasets, studying performance and optimizing quality of the model, as well as training, deploying and troubleshooting models in the field, will be under your purview.
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. We’re customer-obsessed — every decision is driven by how we empower our customers with robots to do more than they thought possible.
Dexterity is one of the fastest growing companies in robotics, backed by world-class investors. 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
BS/MS in Computer Science, Machine Learning or a related discipline, or equivalent experience
5 or more years of related work experience
Experience with OpenCV and Open3D
Prior experience building, training and deploying production ML models from scratch using PyTorch and TensorFlow
Strong knowledge of Modern C++ and Python
Experience using profilers and debuggers to optimize code
Experience building and maintaining production code
Experience with serving architectures like NVIDIA Triton, TorchServe and TensorFlow Serving, Flask and others
Strong academic background and knowledge of ML and academic papers
Experience with cloud infrastructure such as AWS, GCP, Azure etc. and using this infrastructure to create training and serving pipelines
Ability to trace and solve problems across interconnected systems, pipelines and applications
Experience with Git and modern CI pipelines
Nice to have
Experience with Docker and Kubernetes
Previous startup experience
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.
Notes Base pay is one element of our Total Rewards package which may also include comprehensive benefits and equity, depending on eligibility. The annual base salary range for this position is from $160,000 to $200,000. The actual base pay offered will be determined on factors such as years of relevant experience, skills, education, etc. Decisions will be determined on a case-by-case basis.
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