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Remote Machine Learning Robotics Jobs (NOW HIRING)

Serve Robotics

$225K - $260K/yr

At Serve Robotics, we're reimagining how things move in cities. Our personable sidewalk robot is ... We are solving real-world problems leveraging robotics, machine learning and computer vision, among ...

Waymo

Machine Learning Engineer, Geometry Team

Kirkland, WA · On-site +1

$175K - $215K/yr

For this role, we are looking for a strong Software Engineer with robotics and machine learning ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Waymo

Machine Learning Engineer, Geometry Team

Kirkland, WA · On-site +1

$175K - $215K/yr

For this role, we are looking for a strong Software Engineer with robotics and machine learning ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Rerun

Robotics Machine Learning Engineer

Machine learning: * Data pipelines: ingest data from physical systems, curate datasets, and convert ... * We're a remote company headquartered in Stockholm, Sweden. * We meet up in person for a week ...

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Remote Machine Learning Robotics information

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$32.5K

$63.8K

$99.5K

How much do remote machine learning robotics jobs pay per year?

As of Jun 3, 2026, the average yearly pay for remote machine learning robotics in the United States is $63,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $75,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Robotics Engineer, and why are they important?

To thrive as a Remote Machine Learning Robotics Engineer, you need a solid background in robotics, machine learning algorithms, programming (Python, C++), and typically a degree in computer science, robotics, or a related field. Familiarity with robotics frameworks (like ROS), machine learning libraries (such as TensorFlow or PyTorch), and experience with cloud platforms or remote collaboration tools are highly valued. Strong problem-solving abilities, initiative, and effective remote communication skills help you excel in distributed teams. These competencies enable you to develop intelligent robotic systems efficiently, collaborate across locations, and drive innovation in a rapidly evolving field.

How do remote machine learning robotics professionals typically collaborate with hardware teams when working off-site?

Remote machine learning robotics professionals often collaborate closely with hardware teams through regular virtual meetings, shared documentation, and cloud-based development environments. They use simulation tools to test algorithms before deployment and rely on video calls or live streams to observe hardware tests in real time. Effective communication and detailed feedback are essential to ensure that software and hardware integration runs smoothly, despite working from different locations. This collaborative approach helps address issues quickly and keeps projects on track.

What is a Remote Machine Learning Robotics job?

A Remote Machine Learning Robotics job involves developing and implementing machine learning algorithms to control and improve robotic systems, all while working from a remote location. Professionals in this field use artificial intelligence techniques to enable robots to learn from data and adapt to new tasks. They collaborate with teams virtually, leveraging cloud-based tools and simulation environments to design, test, and deploy robotic solutions. This role typically requires strong programming skills, knowledge of robotics frameworks, and experience with machine learning models.

What is the difference between Remote Machine Learning Robotics vs Remote Data Scientist?

AspectRemote Machine Learning RoboticsRemote Data Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience with ML algorithms and robotics platformsDegree in Data Science, Statistics, or related fields; proficiency in ML, statistics, and programming
Work EnvironmentHands-on with robotics hardware, simulation environments, and software developmentData analysis, modeling, and visualization primarily on software platforms
Employer & Industry UsageRobotics companies, manufacturing, autonomous vehicles, research labsTech firms, finance, healthcare, research institutions

Remote Machine Learning Robotics focuses on developing intelligent systems that integrate robotics hardware with machine learning algorithms, often requiring hands-on hardware work. In contrast, Remote Data Scientists primarily analyze data and build models using software tools. Both roles involve ML expertise but differ in work environment and industry applications.

More about Remote Machine Learning Robotics jobs
What cities are hiring for Remote Machine Learning Robotics jobs? Cities with the most Remote Machine Learning Robotics job openings:
What are the most commonly searched types of Machine Learning Robotics jobs? The most popular types of Machine Learning Robotics jobs are:
What states have the most Remote Machine Learning Robotics jobs? States with the most job openings for Remote Machine Learning Robotics jobs include:
What job categories do people searching Remote Machine Learning Robotics jobs look for? The top searched job categories for Remote Machine Learning Robotics jobs are:
Remote Machine Learning Robotics jobs near you
Infographic showing various Remote Machine Learning Robotics job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $63,781 per year, or $30.7 per hour.

Remote Machine Learning Engineer

Angenex

Jersey City, NJ • Remote

Other

Posted 8 days ago

Job description

Remote Machine Learning Engineer

Jersey City, NJ, United States

About the Job

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Apply