Senior/Staff Machine Learning Engineer
Description For Senior/Staff Machine Learning Engineer
Dexterity is revolutionizing warehouse automation through advanced robotics technology, seeking a Senior/Staff Machine Learning Engineer to join their innovative team. This role focuses on developing sophisticated computer vision ML models, working with cutting-edge technologies in semantic and instance segmentation. The position requires expertise in building and optimizing ML models using PyTorch and TensorFlow, with a strong emphasis on real-time performance and low latency inference.
The ideal candidate will be responsible for the entire ML pipeline, from data gathering and curation to model deployment and optimization. They'll work with RGBD datasets and point clouds, making this role perfect for those with experience in autonomous vehicles or robotics. The position demands strong programming skills in C++ and Python, plus familiarity with cloud infrastructure for building robust training and serving pipelines.
Dexterity offers an exciting opportunity to work at the forefront of robotics technology, having already achieved significant milestones with over 15 million goods handled in production. The company is backed by prestigious investors and maintains a culture focused on innovation and customer success. This role provides a unique chance to contribute to transformative technology that's reshaping the future of warehouse automation and supply chain operations.
The position offers competitive compensation between $170,000 to $225,000 annually, along with the opportunity to work with a diverse, multidisciplinary team. For someone passionate about machine learning, computer vision, and robotics, this role presents an excellent opportunity to make a significant impact in a rapidly growing field while working with state-of-the-art technology.
Responsibilities For Senior/Staff Machine Learning Engineer
- Building Machine Learning models for computer vision
- Understanding current systems and their limitations
- Augmenting and developing ML models
- Updating and scaling ML pipelines to cover more scenarios and improve accuracy
- Working with semantic segmentation and instance segmentation
- Implementing latest developments using platforms like Pytorch, Tensorflow
- Building highly performant models and serving architectures
- Managing end-to-end process of gathering, augmenting, labeling data and curating datasets
- Optimizing quality of the model
- Training, deploying and troubleshooting models in the field
Requirements For Senior/Staff Machine Learning Engineer
- BS/MS/Ph.D. in Computer Science, Machine Learning or a related discipline, or equivalent experience
- 5 or more years of related work experience
- 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
- Ability to trace and solve problems across interconnected systems, pipelines and applications
- Experience deploying software and configuring distributed systems
- Experience with Git and modern CI pipelines
Jobs Related To Dexterity Senior/Staff Machine Learning Engineer
