Deep Learning Manipulation Engineer
At a glance
Mid-level Machine Learning Engineering role at Skild AI. Pittsburgh · $100,000–$300,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and tune deep learning models that let robots manipulate objects and perform other tasks
- Represent manipulation processes so teams can analyze, simulate, plan, and control them
- Work with machine learning, robotics, and research colleagues on manipulation methods designed to generalize
- Connect trained models with inference, deployment, and application teams for use on robotic platforms
What you bring
- A degree in computer science, robotics, mechanical engineering, or a related area, or equivalent hands-on experience
- Strong Python skills and command of at least one deep learning framework, such as PyTorch, TensorFlow, or JAX
- Knowledge of modern deep learning methods and architectures, plus reinforcement learning or imitation learning
- Experience working with distributed deep learning systems
Who this fits
This role suits an engineer focused on deep learning for robotic manipulation, from modeling through deployment. The position is based in Pittsburgh.
From the employer
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.