Research Engineer

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

Job summary

A leading company, Skild AI, is seeking Research Engineers to join their innovative team focused on developing scalable robotic systems for general-purpose robotic intelligence. In this role, you will collaborate with experts to implement cutting-edge machine learning solutions and contribute to impactful applications. Ideal candidates will have strong technical skills and a passion for robotics and AI.

Qualifications

• Degree in a related field or equivalent practical experience.
• Strong track record of deploying real-world applications or publishing research.
• Experience with large-scale model training and robotic systems.

Responsibilities

• Develop and implement algorithms for training general-purpose models.
• Design systems to scale research from prototypes to deployable solutions.
• Collaborate on integrating research insights into practical applications.
• Optimize models for real-world robotic systems.

Skills

Python

Deep learning

Research experience

Robotics

Computer vision

Education

BS, MS or PhD in Computer Science, Robotics, Engineering

Tools

PyTorch

TensorFlow

JAX

Job description

At 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 Overview

We are hiring Research Engineers to develop scalable robotic systems aimed at achieving general-purpose robotic intelligence. In this role, you'll work with researchers and engineers to implement state-of-the-art machine learning and robot systems. The ideal candidate has a strong technical background, experience in turning research into practical solutions, and a drive to build impactful applications.

Responsibilities

• Develop and implement new algorithms for training and optimizing general-purpose robot foundation models.
• Design and engineer systems to scale research from prototypes to fully deployable solutions, working with large-scale systems and datasets.
• Collaborate with a multidisciplinary team, contributing to the integration of research insights into practical robotics applications.
• Optimize machine learning models for real-world robotic systems.

Preferred Qualifications

• BS, MS or PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Strong track record of publishing papers and/or deploying real-world applications.
• Deep technical knowledge, and research experience in deep learning, reinforcement and/or imitation learning, robotics, or computer vision.
• Experience working with robot systems andlarge-scale model training.

Base Salary Range

$100,000 - $300,000 USD

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