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Remote Machine Learning Jobs in Rhode Island (NOW HIRING)

Senior Software Engineer - React

NC · On-site +1

$130K - $200K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA , CO , CT , FL , GA , *IL , KS , MD, ME , MA , NJ , NC , NY , OR ...

Data Engineer II

Carolina, RI · Remote

$143.25K - $187.07K/yr

Overview This is a remote role that may only be hired in the following locations: North Carolina, Georgia, and Arizona. Responsible for designing, building, and maintaining data platform that ...

Data Engineer II

Carolina, RI · Remote

$143.25K - $187.07K/yr

Overview This is a remote role that may only be hired in the following locations: North Carolina, Georgia, and Arizona. Responsible for designing, building, and maintaining data platform that ...

Remote Role: * This position is classified as remote where the associate will perform remote work from their primary residence. Remote associates are welcome to work from the office but are not ...

Data Engineer

NC · On-site +1

$90K - $170K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced ...

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Showing results 1-20

Remote Machine Learning information

See Rhode Island salary details

$25K

$41.7K

$86.2K

How much do remote machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for remote machine learning in Rhode Island is $41,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in Rhode Island? The most popular types of Machine Learning jobs in Rhode Island are:
What job categories do people searching Remote Machine Learning jobs in Rhode Island look for? The top searched job categories for Remote Machine Learning jobs in Rhode Island are:
What cities in Rhode Island are hiring for Remote Machine Learning jobs? Cities in Rhode Island with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Rhode Island as of May 2026, with employment types broken down into 1% Internship, 1% As Needed, 51% Full Time, 42% Part Time, 4% Temporary, and 1% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $41,703 per year, or $20 per hour.
Senior Software Engineer - React

Senior Software Engineer - React

NinjaOne

On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

About the Role
We are looking for a Senior Software Engineer to join one of our Product Development teams. Someone who has a strong emphasis on React and modern front-end development. In this role, you'll work closely with product designers, product owners, and fellow engineers to create dynamic, high-performance user interfaces. Collaborating across teams, you'll play a key role in building seamless and impactful experiences to deliver a unified customer experience that inspires and brings value to our diverse customer base.
 
Location - We are flexible on remote working from home, if you are located in the USA and reside in one of the following states - CA, CO, CT, FL, GA, *IL, KS, MD, ME, MA, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.
 
What You’ll be Doing
 
• Partner with designers and engineers to develop and implement design system components and patterns via React and Storybook.
• Partner with designers and product teams to develop robust, extensible, and accessible UI components.
• Write secure, maintainable code that powers, participate in code reviews and lead cross-team initiatives, and document processes thoroughly.
• Other duties as needed.
 
About You
 
• 7+ years of recent working experience with JavaScript & CSS.
• 5+ years of recent working experience with REACT.
• Ability to perform basic management of instances in AWS.
• Experience working with Design System software such as Figma, Storybook, etc.
• Familiarity with React Query
• Experience with accessibility, internationalization, adaptive UI, responsive design, and other core UX considerations.
• Familiarity with front-end testing frameworks, the value they provide, and how to write effective tests.
• Fostered habit of constant code and system improvement by refactoring and thinking critically about the system.
• Provide constructive feedback on team’s design choices and code.
• Bachelor’s degree or equivalent work experience in Computer Science or Engineering.
• Strong written and verbal communication skills.
• Component-based user interface development experience, including how to construct and deconstruct components, with a focus on creating composable and reusable UI elements.
 
About Us 
NinjaOne unifies IT to simplify work for more than 35,000 customers in 140+ countries. The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years.  
 
What You’ll Love
We are a collaborative, kind, and curious community.
We honor your flexibility needs with full-time work that is hybrid remote.
We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.
We help you prepare for your financial future with our 401(k) plan.
We prioritize your work-life balance with our unlimited PTO.
We reward your work with opportunity for growth and advancement.
 
About Us 
NinjaOne unifies IT to simplify work for more than 35,000 customers in 140+ countries. The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years.  
 
 
Additional Information
 
This position is NOT eligible for Visa sponsorship.
 
*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.
 
Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO. For roles based in California, Colorado, Maryland, New Jersey or Washington the base salary hiring range for this position is $130,000 to $200,000 per year.
 
For roles based in New York, the base salary hiring range for this position is $130,000 to $200,000 per year.
 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.
 
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