Applied Scientist, Mobile Manipulation Robotics (i/o)

Amazon Amazon · Big Tech · North Reading, MA · Applied Science

Applied Scientist focused on developing learning-based approaches for mobile manipulation in robotics, aiming to advance capabilities for robots navigating and manipulating objects in dynamic fulfillment environments. The role involves model development, training, data management, experimentation, validation, and code development for production systems at Amazon's scale.

What you'd actually do

  1. Designing and implementing the model architectures, training and fine tuning the models using various datasets, and optimize the model performance through iterative experiments
  2. Process and prepare training data, including data governance, provenance tracking, data quality checks and creating reusable data pipelines.
  3. Design and execute experiments to test model capabilities on the simulator and on the embodiment, validate performance across different scenarios, create a baseline and iteratively improve model performance.
  4. Write clean, maintainable, well commented and documented code, contribute to training infrastructure, create tools for model evaluation and testing, and implement necessary APIs
  5. Stay current with latest developments in foundation models and robotics, assist in literature reviews and research documentation, prepare technical reports and presentations, and contribute to research discussions and brainstorming sessions.

Skills

Required

  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Nice to have

  • Experience using Unix/Linux
  • Experience in professional software development

What the JD emphasized

  • 3+ years of building models for business application experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

Other signals

  • advancing mobile manipulation capabilities
  • learning-based approaches for robots
  • production systems at Amazon's scale
  • state-of-the-art research to production