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 and machine learning models that power their robotic systems.
The position offers an exciting opportunity to work on cutting-edge ML applications in robotics, specifically focusing on semantic and instance segmentation problems. You'll be responsible for building, optimizing, and scaling ML pipelines that directly impact real-world automation solutions. The role requires expertise in both theoretical machine learning concepts and practical implementation using modern frameworks like PyTorch and TensorFlow.
As a Senior/Staff ML Engineer, you'll be working with RGBD datasets and point clouds, making this position ideal for those with experience in autonomous vehicles or robotics. The role demands strong programming skills in C++ and Python, along with expertise in cloud infrastructure for building robust training and serving pipelines. You'll be responsible for the entire ML lifecycle, from data gathering and curation to model deployment and optimization.
Dexterity stands out as one of the fastest-growing robotics companies, backed by prestigious investors like Kleiner Perkins and Lightspeed Venture Partners. The company has already demonstrated significant success, with their systems having picked over 15 million goods in production. Their mission is to transform supply chains worldwide through intelligent robotics solutions.
The company culture emphasizes passion, trust, and dedication, with a strong focus on customer success. You'll be joining a diverse, multidisciplinary team working on solving complex real-world problems. The position offers competitive compensation and the opportunity to work with state-of-the-art technology while contributing to the future of warehouse automation.
This role is perfect for someone who combines strong technical skills with a passion for pushing the boundaries of what's possible in robotics and machine learning. You'll be at the forefront of developing technology that has a direct impact on improving supply chain efficiency and transforming how warehouses operate.
Responsibilities For Senior/Staff Machine Learning Engineer
- Build Machine Learning models for computer vision
- Understand current systems and their limitations
- Update and scale ML pipelines to cover more scenarios and improve accuracy
- Work with semantic segmentation and instance segmentation
- Implement latest developments using platforms like Pytorch, Tensorflow
- Build highly performant models and serving architectures
- Handle end-to-end process of gathering, augmenting, labeling data and curating datasets
- Study performance and optimize quality of the model
- Train, deploy and troubleshoot 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
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