Apply Now

Machine Learning Engineer

• Posted 60+ days ago • Updated 6 hours ago

Full Time

USD 100,000.00 per year

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

🔢 Crunching numbers...

Job Details

Skills

Artificial Intelligence
Adaptability
Collaboration
Research
Computer Science
Robotics
Python
C++
Deep Learning
PyTorch
TensorFlow
JAX
Multitasking
Algorithms
Data Structure
Software Engineering
Physics
Training
Art
Machine Learning (ML)

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 80183706
Position Id: 229541e5088edfeeaf7f797799dcd69b
Posted 30+ days ago

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Staff Machine Learning Engineer

Santa Clara, California

•

Today

XPeng Motors is one of China's leading smart electric vehicle (EV) companies. We design, develop, and manufacture smart EVs that are seamlessly integrated with advanced Internet, AI and autonomous driving technologies. We are committed to in-house R&D and intelligent manufacturing to create a better mobility experience for our customers. We strive to transform smart electric vehicles with technology and data, shaping the mobility experience of the future. We are looking for machine learning eng

Full-time

USD 179,400.00 - 303,600.00 per year

Tactile AI Research Engineer - Special Projects (Robotics)

Santa Clara, California

•

Today

We are seeking research scientists and engineers with strong backgrounds across mechatronics, controls, haptics, robotics, simulation, and machine learning to drive breakthrough innovations in intelligent robotic systems. This position requires a hands-on approach, integrating software and hardware solutions to push the boundaries of perception, control, and intelligence. You will work alongside world-class researchers and engineers, contributing to technologies that power the Apple ecosystem.

Full-time

Research Engineer, Robot Intelligence

Mountain View, California

•

Today

Lab Summary: The Robot Intelligence Lab at Samsung Research America is a new facility dedicated to advancing the field of robotics through cutting-edge research and development. The lab's mission is to develop advanced technologies to power intelligent robotic systems capable of manipulation, navigation, and complex reasoning for a variety of high-impact application areas. To achieve this mission, the lab collaborates closely with external entities such as universities, startups, and government

Full-time

USD 163,600.00 - 324,500.00 per year

Machine Learning Engineer

Santa Clara, California

•

Today

About the role We are seeking a high-impact, technically deep Machine Learning Engineer to develop, optimize, and deploy production ML models across our autonomous vehicle (AV) stack. This role is ideal for engineers who enjoy building models end-to-end - from data and training through optimization and real-time deployment on autonomous vehicles. You will work closely with perception, prediction, planning, infrastructure, systems, and hardware teams to ensure models are efficient, scalable, rel

Full-time

USD 170,000.00 - 240,000.00 per year

Search all similar jobs