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Remote Machine Learning Robotics Jobs (NOW HIRING)

Agility Robotics

Staff AI Engineer, Perception

Salem, OR · On-site +1

$207K - $323K/yr

D. in Artificial Intelligence, Robotics, Computer Science, or a related discipline, with a strong foundation in machine learning, robotics, and intelligent systems * Proficiency in related technical ...

Blue River Technology

Machine Learning Engineer, Autonomy

OR · On-site +1

$113K - $202K/yr

... vision, and robotics. BRT acts as a research and development flywheel, building not only new ... Remote in the United States * Visa sponsorship : Open to visa sponsorship. Job Responsibilities A ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

General information Requisition # R67616 Locations USA-Remote Work Posting Date 05/19/2026 Security ... The Machine Learning Engineer will leverage their strong technical background and knowledge to ...

Roboflow

Machine Learning Research Engineer

Required : • Masters / PhD in AI, machine learning, computer vision, robotics, or similar ... Founded in 2019, the company is headquartered in Remote, USA, with a team of 51-200 employees. The ...

Roboflow

Machine Learning Research Engineer

Required : • Masters / PhD in AI, machine learning, computer vision, robotics, or similar ... Founded in 2019, the company is headquartered in Remote, USA, with a team of 51-200 employees. The ...

FloVision Solutions

Machine Learning Engineer

OR · On-site +1

ABOUT FLOVISION FloVision is a remote-first startup focused on improving the food supply chain, starting with protein processing. We design computer vision and machine learning-assisted production ...

FloVision Solutions

Machine Learning Engineer

ABOUT FLOVISION FloVision is a remote-first startup focused on improving the food supply chain, starting with protein processing. We design computer vision and machine learning-assisted production ...

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks * Track ... Remote team members are expected to have reliable high-speed internet access and a dedicated ...

Unitytech

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

D.) in Computer Science, Machine Learning, Robotics, or a related field-or equivalent practical experience. * 5+ years of hands-on experience developing ML systems in production, ideally within real ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site +1

We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...

ICONSTAFF

Machine Learning Engineer

Cambridge, MA · On-site +1

Machine Learning Engineer - Computer Vision & Robotics Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and ...

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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 Sep 14, 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 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 are the key skills and qualifications needed to thrive as a remote machine learning robotics engineer?

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 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

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What are the most commonly searched types of Machine Learning Robotics jobs?

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Remote Machine Learning Robotics jobs near you
Infographic showing various Remote Machine Learning Robotics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $63,781 per year, or $30.7 per hour.

Machine Learning Engineer, Autonomy

Remote

Blue River Technology
See more jobs at Blue River Technologyexternal

$113K - $202K/yr

Full-time

Posted 28 days ago

Job description

We're Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers - farmers, construction crews, and foresters - to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff - pixel-by-pixel and task-by-task - leads to big gains.
Blue River Technology aligns with John Deere's vision to "innovate on behalf of humanity" by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics. BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to create technical breakthroughs in industries like agriculture and construction.
Our people are at the heart of what we do. Through cross-disciplinary collaboration, this mission-driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won't give up until we've made a tangible and positive impact on the planet!
Blue River Technology is based in Santa Clara, CA.
Summary
We are seeking a highly skilled and innovative Machine Learning Engineer to join the team responsible for building the perception stack for Blue River's autonomous tractor initiative. The hire will be responsible for developing CVML models and training and testing pipelines to enhance system safety and performance in challenging production environments. This role will range from developing initial prototypes all the way to scaling for production. We're looking for a motivated and collaborative individual to help build the future of autonomous agriculture.
  • Employment Type: Full-Time
  • Work Location: Remote in the United States
  • Visa sponsorship: Open to visa sponsorship.

Job Responsibilities
A combination, not necessarily all-inclusive, of the following:
  • Design, develop, and optimize CVML models and training pipelines for perception tasks including segmentation and depth estimation, with a focus on safety and performance in challenging production environments.
  • Own the full ML development lifecycle: from initial prototyping through to production-scale deployment on edge and cloud systems.
  • Collaborate closely with cross-functional engineering teams to integrate perception models into BRT's autonomous tractor initiative.
  • Evaluate and improve model performance through rigorous implementation, testing, and analysis of metrics across large-scale datasets.
  • Contribute to advancing autonomous agriculture by applying cutting-edge machine learning and computer vision techniques to real-world farming challenges.

Required Experience and Skills
  • Bachelor's or Master's Degree in Computer Science or a related field, graduate degree preferred.
  • 2 years of experience developing high-performance ML systems, training and optimizing DNNs for segmentation, depth, and related perception tasks with large-scale datasets.
  • Strong Python + PyTorch/TensorFlow skills.
  • Solid grasp of vision + deep learning fundamentals.
  • Strong communication skills to work closely with interdisciplinary teams to integrate models into edge and cloud systems.

Preferred Experience and Skills
  • Experience in building and deploying full-stack ML pipelines, from data ingestion to model training, testing, and deployment.
  • Edge deployment or real-time optimization know-how.
  • Experience in working with CVML & Robotics projects.
  • Experience with multi-view geometry or SLAM.
  • Experience in the vehicle autonomy space.
  • Experience in metrics implementation, analysis, and dashboarding.
  • Knowledge of robotics libraries such as ROS / ROS2.

At Blue River, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $113,000 - $202,000/year for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. This position is also eligible for an annual performance bonus and a competitive benefit package. During the recruitment process, we may identify an alternative role or level to which you are more suited. If your ideal role at Blue River differs from the advertised position, we will provide an updated pay range as soon as possible during the hiring process.
We're passionate about creating an inclusive workplace that promotes and values diversity. While we have more work to do to advance diversity and inclusion, we're investing in our programs, including recruiting, mentorship, career development, and learning & development, to ensure they support our Diversity, Equity, and Inclusion goals. We support each employee in living a full life, enabling a thriving career, and accomplishing a meaningful, challenging mission while collaborating with incredible people. We are dedicated to building a diverse and inclusive workplace, so if you're excited about this role but your experience doesn't align completely with the job description, we encourage you to apply anyway.
We are an equal-opportunity employer and do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request an accommodation.

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