Deep Learning Manipulation Engineer

Menlo Ventures; Pittsburgh (Allegheny County); Hybrid; USD 100,000 - 300,000; Full time

Job summary

Skild AI is seeking a Deep Learning Engineer to innovate and refine models for robotic manipulation. The ideal candidate will design, train, and deploy algorithms that empower robots to interact intelligently with their surroundings.

Successful applicants will work alongside our machine learning, robotics, and research teams to ensure model robustness and efficiency, impacting the future of robotics. A base salary range of $100,000 to $300,000 USD is offered, reflecting the depth of expertise expected in this role.

Qualifications

• Proficiency in Python and deep learning libraries like PyTorch, TensorFlow, or JAX.
• Advanced deep learning techniques familiarity, including reinforcement learning and imitation learning.
• Experience with distributed deep learning systems.

Responsibilities

• Design, implement, and optimize deep learning models for robotic manipulation.
• Model robotic manipulation processes for analysis, simulation, and controls.
• Collaborate with teams to develop scalable manipulation solutions.
• Integrate deep learning models into robotic platforms.

Skills

Deep learning

Python

Robotics

Reinforcement learning

Distributed systems

Education

BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or related field

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 generalisable 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