About the role

Aplyr's Quick Take

This role is for a Machine Learning Engineer focused on developing and optimizing reinforcement learning algorithms for robotic applications. You'll be designing experiments, collaborating with teams, and integrating models into real-world robotic systems. It's primarily an individual contributor role with a strong emphasis on technical skills.

Good fit

Ideal candidates have a background in computer science, robotics, or engineering, with experience in reinforcement learning and programming in Python or C++. You should be passionate about robotics and comfortable working in a collaborative, experimental environment.

Worth noting

The salary is notably high at $300,000, which may reflect the specialized skills required. The company values demonstrated abilities over formal experience, which could appeal to those with non-traditional backgrounds.

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 Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.

Responsibilities

Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
Design and conduct experiments to train RL models and conduct real-world tests.
Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
Analyze and interpret experimental results, iterating on model design to achieve desired performance.
Stay up-to-date with the latest research and advancements in reinforcement learning.

Preferred Qualifications

BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
Strong background in algorithms, data structures, and software engineering principles.
Experience with physics simulation engines and tools for training RL.
Deep understanding of state-of-the-art machine learning techniques and models.
Extensive industry experience with reinforcement learning and robotic systems.

Base Salary Range

$100,000—$300,000 USD

Skills & Tags

python go machine learning ai ios data design

Aplyr's read

Skild AI is at the forefront of integrating AI into recruitment, attracting diverse roles from robotics to software engineering, ideal for tech enthusiasts.
Synthesized from recent postings & public sources

What's promising

•Skild AI offers innovative AI solutions for streamlining recruitment processes.
•The company hires for a wide range of technical and creative roles.
•Skild AI is involved in cutting-edge technology, especially in AI and robotics.

What to watch

•The company may face competition from established HR tech giants.
•Limited public information about its financial stability and growth metrics.
•Potential job seekers might find the company's niche focus limiting.

Why Skild AI

•Skild AI specializes in AI-driven talent assessment, setting it apart in HR tech.
•The company integrates robotics into its recruitment solutions.
•Skild AI's diverse role offerings reflect its commitment to multidisciplinary innovation.

Aplyr’s read is generated by AI from public sources. Was it useful?