Senior Computer Vision Engineer

Job 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 RGB‑D 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, along with familiarity with cloud infrastructure to build training and serving pipelines. 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. While an understanding of open‑source solutions is a useful prerequisite, we also require that the candidate has experience building their own models and setting up training pipelines. 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 on the field will be under your purview. About Dexterity Dexterity believes 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. 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, TensorFlow Serving, Flask and others Strong academic background and knowledge of ML and academic papers Experience with cloud infrastructure such as AWS, GCP, Azure 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 Haves 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. We may use artificial intelligence 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. 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. 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 $160,000 to $200,000. The actual base pay offered will be determined by factors such as years of relevant experience, skills, education, etc. Decisions will be determined on a case‑by‑case basis. #J-18808-Ljbffr