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Deep Learning Manipulation 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.

Bachelor's degree

Job overview

Skild AI is hiring a Deep Learning Manipulation Engineer. Skild AI is building the world’s first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. The company believes massive scale through data‑driven machine learning unlocks widespread robot deployment. The team includes individuals from new graduates to domain experts, and values demonstrated abilities and attitude over industry experience.

Key focus areas include Design, implement, and optimize deep learning models for robotic manipulation., Model robotic manipulation processes to enable analysis, simulation, planning, and controls., and Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for robotic systems..

Preferred (not required): Deep Learning Model Design, Deep Learning Model Implementation, Deep Learning Model Optimization, and Robotic Manipulation Process Modeling.

Skills & qualifications

RequiredNice to have

Skills

Deep Learning Model DesignDeep Learning Model ImplementationDeep Learning Model OptimizationRobotic Manipulation Process ModelingScalable Manipulation Solutions DevelopmentGeneralizable Manipulation Solutions DevelopmentDeep Learning Model IntegrationPythonPyTorchTensorFlowJAXAdvanced Deep Learning TechniquesAdvanced Deep Learning ArchitecturesReinforcement LearningImitation Learning

Qualifications

BS, MS, or Higher Degree in Computer Science, Robotics, Mechanical Engineering, or Related Field, or Equivalent Practical ExperienceExperience With Distributed Deep Learning Systems

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 looking for a Deep Learning Engineer to develop and refine models for robotic manipulation. You will design, train, and deploy algorithms that enable robots to interact intelligently and adapt to their environments. Working closely with our machine learning, robotics, and research teams, you’ll ensure these models are robust, efficient, and ready for real-world challenges. Your work will directly advance Skild AI’s robotics capabilities, enabling robots to perform complex tasks autonomously.

Responsibilities

  • Design, implement, and optimize deep learning models for robotic manipulation.
  • Model robotic manipulation processes to enable analysis, simulation, planning, and controls
  • Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems.
  • Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms. Preferred Qualifications
  • BS, MS, or higher degree in Computer Science, Robotics, Mechanical 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.
  • Proficiency with advanced deep learning techniques and architectures as well as reinforcement learning and or imitation learning.
  • Experience with distributed deep learning systems. Base Salary Range $100,000 — $300,000 USD

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