Research Scientist

Skild AI; San Francisco (CA); On-site; USD 100,000 - 300,000; Full time

Benefits offered by this job

Health insurance

Job summary

Skild AI Inc. is seeking Research Scientists to lead the development of next-generation techniques for robotic systems. You will collaborate with researchers and engineers to advance our research strategy and translate findings into impactful applications.

The role requires a track record of fundamental, scalable research with a passion for pushing the boundaries of what is possible in robotics and machine learning.

Qualifications

• PhD degree in Computer Science, Robotics, Engineering or a related field.
• Multiple years of experience in conducting research.
• Proficiency in Python and at least one deep learning library.
• Publications at top-tier ML, robotics, or CV conferences.
• Deep technical knowledge in DL, RL, robotics, or computer vision.
• Deep understanding of state-of-the-art machine learning techniques.
• Experience working with robot systems.
• Experience with large-scale model training and systems.

Responsibilities

• Develop new algorithms and methods for training general-purpose robot foundation models.
• Conduct cutting edge research across perception, robotics, RL/IL, ML, and related fields.
• Work with large-scale systems and large-scale model training.

Skills

Python

Deep learning libraries

Reinforcement learning

Robotics knowledge

Publications

Research mindset

Education

PhD in Computer Science, Robotics, Engineering or related field

Job description

Company OverviewAt Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Company OverviewAt Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.

Position OverviewWe 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.

Base Salary Range $100,000—$300,000 USD