Senior Applied Scientist, Foundation Model

What you'll do

• Fine-tune and optimize models for specific tasks, environments, and robot embodiments; conduct reproducible experiments bridging simulation and real-world deployment.
• Build benchmarks and evaluation tools, and contribute to data curation, training workflows, infrastructure, and APIs.
• Collaborate across research, controls, hardware, and product teams; document and communicate research findings and best practices.

What they ask for

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Programming experience in Java, C++, Python or a related language; 2+ years of hands-on deep learning experience in at least one stated area: computer vision, multimodal models, imitation learning / RL for robotics, or human-robot interaction.
• Ability to design rigorous experiments, analyze results, and iterate quickly with reproducible baselines; demonstrated technical contributions such as publications, patents, open-source, or impactful internal systems.

Nice to have

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
• Experience with large-scale distributed systems such as Hadoop or Spark.

Pay

192,200.00 - 260,000.00 USD annually (base salary); 192,200.00 - 260,000.00 USD annually (base salary)

Tools

Java, C++, Python, R, scikit-learn, Spark MLLib, Tensorflow, Hadoop

AI focus

Develop robotics foundation models and apply deep learning and large language models to robotic perception, reasoning, action, generalization, and skill acquisition; evaluate, fine-tune, and optimize models for robotics tasks and embodiments.