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Research Scientist

On-site
Skild AIPittsburgh, PA, US / San Mateo, PH1 year agoWebsite
Fresh
Engineering

Compensation

$100,000-$300,000
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Description

Position Overview

We are looking for Research Scientists to lead the effort in developing the next generation of techniques to advance the capabilities of our robotic systems. We are looking for people with proven expertise in machine learning and/or robotics, who are passionate about pushing the boundaries of what is possible. You will collaborate with a team of talented researchers and engineers, and enhance our cohesive research strategy, driving ongoing innovation and technological advancements within the company. The ideal candidate will have a track record of discovering fundamental, scalable solutions, and a passion for seeing their research transform into impactful applications.

Responsibilities

  • Develop new algorithms and methods for training general-purpose robot foundation models.
  • Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL / IL, Machine Learning, etc.).
  • Work with large scale systems and large-scale model training.

Preferred Qualifications

  • PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Multiple years of experience in conducting research.
  • Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Publications at top-tier ML, robotics, or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).
  • Deep technical knowledge, and research experience in deep learning, reinforcement learning, robotics, or computer vision.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Experience working with robot systems.
  • Experience working with large-scale model training and systems.

 

Stack

PythonPyTorchComputer VisionMachine LearningFoundation ModelsTensorFlowJAXDeep LearningReinforcement Learning
Posted
Sep 19, 2024
Last seen
Jun 26, 2026
First seen
Jun 26, 2026
Status
active