About the Role
Sanctuary is seeking an exceptional Senior Machine Learning (ML) Researcher to join our team in engineering and solving foundational challenges of robotic perception, planning, and reasoning.
As part of the ML team, you will be responsible for designing and implementing novel algorithms, testing your algorithms in simulation, and deploying them to our robots in real-world settings. With access to in-house robots, you will have a unique opportunity for impactful work with new haptic and proprioceptive sensing modalities. As part of your work, you'll have the opportunity to learn and implement leading-edge ML methods.
Success Criteria
Design and implement novel algorithms and test your algorithms in real-world settings in at least one of these categories: computer vision, haptics processing, or robotics
Keep up to date with the state-of-the-art on specific topics in computer vision, robotics, and machine-learning
Identify, communicate, and drive promising research directions to the team
Implement and test existing solutions and find ways of improving existing implementations for execution with regards to standard metrics such as speed, memory and computational resource usage, and scalability
Package research results and implementation for use by other researchers and collaborators
Work with a multidisciplinary team to develop novel algorithms and investigate sources of errors with existing implementations
Your Experience Qualifications
PhD in Machine Learning, Computer Science, Applied Math, or equivalent work experience in ML
4+ years' experience implementing a variety of ML methods with a focus in a specialization such as computer vision or robotics
Demonstrated experience with the state-of-the-art in 3D scene understanding, such as object detection, semantic and instance segmentation, and 3D scene reconstruction
Demonstrated experience with optimization algorithms and Monte Carlo methods
Experience in simulation-to-reality transfer learning
Experience taking ML R&D and trained models into production
Hands-on experience integrating ML models onto a robotics platform
Experience with computer vision systems
Publications in leading AI conferences or in the field of robotics learning-based methods
Skills
Development with Python 3.6 or later
Working knowledge of PyTorch and/or TensorFlow
Familiarity with ROS2
Extensive knowledge of Reinforcement Learning principles and use
Development experience with C++17 or later
Development experience with HPC tools: CUDA, OpenMP, SSE
Experience with Atlassian tools; Jira, GitLab, Confluence
Expert-level skills working on SLAM
Working knowledge of Discrete Optimization
Traits
The successful candidate will be a proponent of individual personal responsibility for themselves and their teammates
Above all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to complex problems
Eager to take on new challenges with tenacity and positivity
Patience, persistence, and attention to detail when resolving performance issues
Enthusiasm for bringing human-like intelligence to machines