Senior Applied Scientist, Foundation Model
Core
Developing and optimizing foundation models for advanced robotics systems to enable generalization, multi-modal learning, and safe human-robot interaction at scale.
Role type
Senior Applied Scientist (Robotics Foundation Models)
Builds
Next-generation robotic systems for automation and logistics
Domain
Robotics, Artificial Intelligence, Deep Learning
Deliverable
production ML models
Required skills
Deep learning, Computer vision, Multimodal models, Imitation learning, Reinforcement learning, Human-robot interaction, Experiment design, Reproducible baselines, Algorithm invention
Preferred skills
Large scale distributed systems, Modeling tools (TensorFlow, PyTorch, etc.) (via careerplan.io/jobs/10474288-senior-applied-scientist-foundation-model-at-amazon)
Technologies
Java, C++, Python, TensorFlow, PyTorch, Hadoop, Spark
Responsibilities
Leverage and fine-tune state-of-the-art models for specific robot tasks; Execute rigorous experimentation bridging simulation and real-world environments; Build and run capability evaluations and benchmarks; Contribute to data collection, curation, and training workflows; Develop tools for model evaluation, testing, and APIs; Collaborate with research, controls, and hardware teams to integrate models into robot embodiments.
Seniority
Senior, hands-on IC