2

Remote Machine Learning Robotics Jobs in Massachusetts

Senior Machine Learning Engineer

Boston, MA ยท Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in ... LI-Remote We value diversity and believe the unique contributions each of us brings drives our ...

Machine Learning Engineer

Boston, MA ยท On-site +1

$136K - $225K/yr

For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red ...

N322 BOSTON - REMOTE U.S. ONLY FULL-TIME What You'll Do: * Connect/drive project-level impact ... robotics, * testing/debugging algorithms, * machine learning applications, * Python, * C+

$152K/yr

Our team is fully remote and globally distributed, and we serve a large, active student base across both regions. We're looking for the person who brings an AI and Machine Learning curriculum to life ...

Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely ... FORT Robotics is hiring an Account Executive to lead sales efforts across the United States. As a ...

Senior Algorithm Engineer

Boston, MA ยท On-site +1

$170K - $190K/yr

As part of Beacon's analytics and machine learning domain, you'll work alongside fellow data ... This is a fully remote role based anywhere in the U.S. What success looks like * Participate in and ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Collaborate with data scientists and machine learning engineers to understand data requirements for ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Software Engineer

Chelmsford, MA ยท On-site +1

$105K - $142K/yr

Familiarity with Machine Learning. * Familiarity with Python, JavaScript, MATLAB, or similar ... Work arrangements may include a mix of in-office and remote work, depending on the nature of the ...

Showing results 21-40

Remote Machine Learning Robotics information

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.

What job categories do people searching Remote Machine Learning Robotics jobs in Massachusetts look for?

The top searched job categories for Remote Machine Learning Robotics jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Machine Learning Robotics jobs?

Cities in Massachusetts with the most Remote Machine Learning Robotics job openings:

Senior Machine Learning Engineer

OneStudyTeam

Boston, MA โ€ข Remote

$140K - $190K/yr

Full-time

Re-posted 16 days ago


Job description

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care.

One mission. One team. That's OneStudyTeam.

By joining our team as a Senior Machine Learning Engineer, you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes. You shine as a collaborator and excel as an individual contributor, with the courage to tackle challenging problems and the humility to learn and adapt. Your initiative and discipline allow you to thrive while working remotely, and your high degree of empathy and communication skills makes you the kind of colleague everyone wants on their team. As an integral member of our fast-growing organization, you will leverage AI to transform clinical research and improve patient care.

What You'll Be Working On:
  • Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical research.
  • Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You'll also help expand our AI knowledge base architecture to support these innovative solutions.
  • Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale. You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-date.
  • Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform (including Care Access products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users.
  • Continuously learn and innovate. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new ideas to the team. You'll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forward.
What You'll Bring to OneStudyTeam:
  • Minimum Experience:
    • Minimum of 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications used by real people.
  • Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required.
  • Cloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deployments.
  • Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important.
  • Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in production.
  • Mission-driven and business-focused mindset: A passion for our mission to speed up clinical trials and improve patient outcomes. Empathy for patients, clinicians, and researchers drives you to build unbiased AI solutions.

The expected pay range for this role is $140,000 - $190,000 USD per year for full time team members.

#LI-Remote

We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status.

Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization.

As a condition of employment, you will abide by all organizational security and privacy policies.

This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here).

Mandatory Employer Disclosures:
Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction.
Notice to Connecticut applicants: OneStudyTeam may require applicants to submit to a urinalysis drug test in connection with an application for employment.
Notice to Arizona, Georgia, Indiana, and North Dakota applicants: OneStudyTeam complies with applicable laws prohibiting smoking in and around places of employment.
Notice to Massachusetts applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Notice to Rhode Island applicants: OneStudyTeam complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. OneStudyTeam is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws.
Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.