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Research Engineer

Skild AI

Remote · USFull-time$100–300K/yrPosted 1y agoStill listed 2 days ago

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At a glance

Compensation
$100–300K/yr
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Doctorate

Job overview

Skild AI is hiring a Research Engineer. Skild AI is developing the world’s first general‑purpose robotic intelligence that remains robust in unseen scenarios. The company believes massive, data‑driven machine learning scale unlocks widespread robot deployment. Its team spans new graduates to domain experts, valuing demonstrated ability and attitude over specific industry experience, and seeks passionate individuals eager to explore uncharted waters and drive innovative projects.

Key focus areas include Develop and implement new algorithms for training and optimizing general-purpose robot foundation models., Design and engineer systems to scale research from prototypes to deployable solutions, working with large-scale datasets., and Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.)..

Preferred (not required): Develop Algorithms, Optimize Robot Foundation Models, Design Systems, and Engineer Systems.

Skills & qualifications

RequiredNice to have

Skills

Develop AlgorithmsOptimize Robot Foundation ModelsDesign SystemsEngineer SystemsScale ResearchWork With Large-Scale SystemsWork With Large-Scale DatasetsConduct Cutting Edge ResearchPerceptionRoboticsRL/ILMachine LearningCollaborate With Multidisciplinary TeamPythonPyTorchTensorFlowJAXDeep LearningReinforcement LearningImitation LearningComputer Vision

Qualifications

Strong Technical BackgroundExperience Turning Research Into Practical SolutionsDrive to Build Impactful ApplicationsBS, MS or PhD in Computer Science, Robotics, Engineering or Related Field or Equivalent Practical ExperienceStrong Track Record of Publishing PapersStrong Track Record of Deploying Real-World ApplicationsDeep Technical KnowledgeResearch Experience in Deep LearningResearch Experience in Reinforcement LearningResearch Experience in Imitation LearningResearch Experience in RoboticsResearch Experience in Computer Vision

Full job description

Company Overview 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.
  • Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL/ IL, Machine Learning, etc.).
  • 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 and large-scale model training.

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

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