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Remote Machine Learning Postdoc Jobs in Rhode Island

Senior Data Software Engineer

NC · On-site +1

$123.10K - $162.30K/yr

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... pipelines and machine learning models. o Understanding of Generative AI and Deep Learning ...

For the right candidate we may consider remote. Experienced full stack software engineer who has a ... Enthusiasm for keeping current with advances in AI and machine learning, with the ability to ...

RWD Engagement Manager

Providence, RI · On-site +1

$150K - $165K/yr

Remote, United StatesDate Posted: Feb 6, 2026Employment Type: Full TimeJob ID: R-1701DescriptionWhy ... world data, machine learning and predictive analytics. At Norstella, we don't just deliver ...

Senior Data/AI Engineer

Providence, RI · Remote

$107.10K - $145.50K/yr

This role is remote and can be based anywhere within the United States. Candidates must be able to ... Bachelor's degree in Computer Science, Machine Learning, Analytics, Engineering, or a related field ...

Data Engineer - Healthcare

Providence, RI · Remote

$115.70K - $138.90K/yr

You will develop capabilities using artificial intelligence, machine learning, and big data ... Travel: While this is a remote position, occasional travel to Humana's offices for training or ...

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Remote Machine Learning Postdoc information

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

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.
What are popular job titles related to Remote Machine Learning Postdoc jobs in Rhode Island? For Remote Machine Learning Postdoc jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Rhode Island look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Rhode Island are:
What cities in Rhode Island are hiring for Remote Machine Learning Postdoc jobs? Cities in Rhode Island with the most Remote Machine Learning Postdoc job openings:
Infographic showing various Remote Machine Learning Postdoc job openings in Rhode Island as of May 2026, with employment types broken down into 72% Full Time, 12% Part Time, and 16% Contract. Highlights an 100% Remote job distribution.
Senior Data Software Engineer

Senior Data Software Engineer

NinjaOne

On-site, Remote

$123.10K - $162.30K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

About the Role

At NinjaOne, we’re looking for a skilled Senior Data Engineer to join our team and help drive the future of our data infrastructure. You’ll play a critical role in building, maintaining, and scaling our systems to ensure smooth data flow, accuracy, and security across the organization. This is an exciting opportunity to work on innovative projects, collaborate with cross-functional teams, and help shape how we leverage data to fuel growth, optimize products, and drive business decisions.

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, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

We hire the best software engineers, but experience in our stack can’t hurt: NinjaOne is built on Java, Kotlin, C++, Golang and Postgres; supporting millions of user endpoints and running as a scalable cloud service in AWS.  Knowing large-scale datastore bottlenecks, asynchronous application design and client-server architecture will help you.

What You’ll be Doing

  • Data Pipeline Development: Design and implement scalable data pipelines that move and transform large volumes of data from multiple sources to central data warehouses, transforming data to enable business reporting and advanced analytics.
  • Database Management: Manage and optimize the performance of relational databases, ensuring data availability, reliability, and consistency.
  • Automation & Optimization: Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
  • Monitoring & Maintenance: Ensure the integrity and security of data across systems, monitor performance, and troubleshoot any issues that arise within the data pipeline.
  • Data Visualization: Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
  • Collaboration: Work closely with data scientists, analysts, and other teams to gather requirements, understand data needs, and provide solutions that support data-driven decision-making.
  • Other duties as needed.

About You

  • Bachelor’s degree in Computer Science, Computer Engineering, Information Technology or equivalent work experience preferred.  
  • 10+ years of experience in software development, with a strong focus on data engineering and data science.
  • Experience in building data pipelines and managing large-scale data systems using technologies like SQL and Python.
  • Expertise in Python.  
  • Experience in cloud platforms like AWS, GCP, or Azure, and experience with tools like Airflow, Kafka or dbt for orchestrating data workflows.
  • Mastery with both relational databases including MySQL, PostgreSQL and NoSQL databases like MongoDB, Cassandra.
  • Experience with data warehousing concepts and tools such as Redshift, BigQuery, Snowflake.
  • Solid understanding of Microservices Architecture and DevOps principles.
  • Experience that will make you a standout candidate: 
    o    Previous experience working with large-scale data pipelines and machine learning models. 
    o    Understanding of Generative AI and Deep Learning frameworks.

About Us 

NinjaOne automates the hardest parts of IT to deliver visibility, security, and control over all endpoints for more than 30,000 customers. The NinjaOne automated endpoint management platform is proven to increase productivity, reduce security risk, and lower costs for IT teams and managed service providers. NinjaOne is obsessed with customer success and provides free and unlimited onboarding, training, and support. NinjaOne is #1 on G2 in endpoint management, patch management, remote monitoring and management, and mobile device management.

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.

Additional Information

This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents.

*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 $110,000 to $200,000 per year.

For roles based in New York, the base salary hiring range for this position is $110,000 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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