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Full Time Machine Learning Robotics Jobs (NOW HIRING)

Avride

Machine Learning Engineer

Austin, TX · On-site

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Avride

Machine Learning Engineer

Austin, TX · On-site

About the team Avride develops autonomous vehicle and delivery robot technology, leveraging deep ... Our team builds self-driving solutions from the ground up, with machine learning at the core of our ...

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 ...

Team Red Dog

AI Robotics Engineer

Redmond, WA

Python (2+ years) - Develop machine learning pipelines, automation tools, robotics software, and production-quality code supporting research initiatives. * PyTorch (2+ years) - Train, fine-tune ...

Team Red Dog

AI Robotics Engineer

Redmond, WA · On-site

Python (2+ years) - Develop machine learning pipelines, automation tools, robotics software, and production-quality code supporting research initiatives. * PyTorch (2+ years) - Train, fine-tune ...

FieldAI

2.53 3D Machine Learning Engineer

Irvine, CA · On-site

FieldAI is a company based in Irvine, California, specializing in embodied AI and robotics. They are seeking a 3D Machine Learning Engineer to design, implement, and maintain advanced 3D machine ...

Clera

ML Engineer - Robotics

San Francisco, CA · On-site

$220K - $300K/yr

You will work at the intersection of machine learning, control systems, and real-world robotics, designing and deploying intelligent models that power autonomous systems. This is an ideal opportunity ...

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Clera

ML Engineer - Robotics

San Francisco, CA · On-site

$220K - $300K/yr

You will work at the intersection of machine learning, control systems, and real-world robotics, designing and deploying intelligent models that power autonomous systems. This is an ideal opportunity ...

New

Skild AI

Deep Learning Manipulation Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

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 ...

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Full Time Machine Learning Robotics information

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$25.5K

$42.6K

$88K

How much do full time machine learning robotics jobs pay per year?

As of Jul 12, 2026, the average yearly pay for full time machine learning robotics in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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

AspectFull Time Machine Learning RoboticsData Scientist
Required CredentialsDegree in Robotics, Computer Science, or related fields; experience in ML and roboticsDegree in Data Science, Statistics, Computer Science; proficiency in programming and analytics
Work EnvironmentRobotics labs, manufacturing plants, research facilitiesOffice settings, data centers, research institutions
Industry UsageManufacturing, autonomous vehicles, robotics startupsFinance, healthcare, tech companies, consulting

Full Time Machine Learning Robotics professionals focus on developing intelligent robotic systems, combining ML algorithms with hardware integration. Data Scientists analyze data to extract insights, often working with large datasets and statistical models. While both roles require programming skills and a background in ML, their work environments and industry applications differ significantly.

More about Full Time Machine Learning Robotics jobs
What cities are hiring for Full Time Machine Learning Robotics jobs? Cities with the most Full Time 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 Full Time Machine Learning Robotics jobs? States with the most job openings for Full Time Machine Learning Robotics jobs include:
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Full Time Machine Learning Robotics jobs near you
Infographic showing various Full Time Machine Learning Robotics job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Research Engineer - Machine Learning & Robotics

Research Engineer - Machine Learning & Robotics

Jumio Corporation

Lenexa, KS • On-site

Full-time

Posted 16 days ago

Job description

Job Summary:
Jumio Corporation is a B2B technology company dedicated to eradicating online identity fraud and financial crimes. They are seeking a Research Engineer to help build and scale systems for data collection, model development, and product improvement in the fields of machine learning and robotics.
Responsibilities:
• Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows.
• Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
• Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications.
• Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development.
• Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments.
• Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support.
• Write clean, modular, well-documented C++ and Python code that can be maintained and extended by other engineers.
• Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
• 1–2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas.
• Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection.
• Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar.
• Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation.
• Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code.
• Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
Preferred:
• Experience with robotic manipulators, mobile robot platforms, or lab-based robotic systems.
• Familiarity with iOS and/or Android development, especially for hardware-integrated data collection applications.
• Experience with data collection pipelines for computer vision, biometric systems, identity verification, or similar applied AI domains.
• Exposure to production ML observability, model monitoring, drift detection, or data quality monitoring tools.
• Familiarity with cloud platforms such as AWS, including S3, EC2, SageMaker, or similar tools for storage, compute, and model deployment.
• Experience working in cross-functional environments with machine learning engineers, software engineers, researchers, and product teams.
Company:
Jumio helps organizations to know and trust their customers online. Founded in 2010, the company is headquartered in Sunnyvale, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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