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Remote Machine Learning Jobs in Woonsocket, RI (NOW HIRING)

Machine learning and AI infrastructure * Computational biology and bioinformatics * Backend and ... remote-friendly depending on role. Preference for candidates open to working closely with the ...

Software Engineer

Boston, MA · On-site +1

$178K - $195K/yr

Create open-source software in the machine learning and data science pipelines domain ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

... Machine Learning, or a related field. Additional Information Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home. Office Location ...

AI Engineer

Mansfield, MA · On-site +1

Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

AI Engineer

Mansfield, MA · On-site +1

Serve as Subject Matter Expert in Generative AI, agentic systems, and applied Machine Learning ... for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards ...

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Principal Software Engineer- AI

Boston, MA · On-site +1

$174K - $287K/yr

Deep understanding of machine learning frameworks and experience in Generative AI application ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

Domain Expert - (STEM PhD)

Boston, MA · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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Remote Machine Learning information

See Woonsocket, RI salary details

$24.4K

$40.8K

$84.3K

How much do remote machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for remote machine learning in Woonsocket, RI is $40,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,100.00 and $44,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

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 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.

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 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.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What cities near Woonsocket, RI are hiring for Remote Machine Learning jobs? Cities near Woonsocket, RI with the most Remote Machine Learning job openings:

Member of the Technical Staff

Absentia Labs

Boston, MA • Remote

Full-time

Posted 5 days ago


Job description

We are always looking for exceptional engineers interested in building the future of AI-enabled drug development, predictive biology, and computational safety infrastructure. If you are excited about working at the intersection of AI, biotech, translational medicine, and scalable scientific systems, we would love to hear from you.


About the Role

Absentia Labs is building AI-driven mechanistic toxicology and translational safety infrastructure designed to improve how biological risk and organ-level toxicity are understood earlier in drug development. Our platform integrates large-scale biological, chemical, and experimental datasets to support predictive, human-relevant safety assessment and New Approach Methodologies (NAMs).

We are looking for highly motivated engineers with broad backgrounds who are excited to solve technically challenging problems in AI, biology, infrastructure, and scientific computing. This is a general application for candidates who may fit current or future engineering needs as the company grows.


Areas of interest may include:

  • Machine learning and AI infrastructure

  • Computational biology and bioinformatics

  • Backend and distributed systems

  • Data engineering and data platforms

  • Scientific software engineering

  • Full-stack product engineering

  • Cloud infrastructure and MLOps

  • Applied AI research

  • Visualization and scientific interfaces


What We Look For
  • Strong technical fundamentals and problem-solving ability

  • Interest in mission-driven work within biotechnology and healthcare

  • Ability to operate in fast-moving, ambiguous startup environments

  • Curiosity, ownership, and willingness to learn across disciplines

  • Experience building scalable systems, models, or products

  • Strong communication and collaboration skills

Nice to Have
  • Experience in biotech, healthcare, life sciences, or scientific computing

  • Familiarity with machine learning workflows or biological datasets

  • Startup or early-stage company experience

  • Interest in translational medicine, toxicology, or computational drug development

Location

Hybrid and remote-friendly depending on role. Preference for candidates open to working closely with the founding team in Boston.


Why Absentia Labs
  1. Work on scientifically meaningful problems with real-world impact

  2. Help shape a foundational platform at the intersection of AI and biology

  3. Collaborate with pharmaceutical, academic, and regulatory stakeholders

  4. Early-stage ownership and opportunity for outsized impact

  5. Mission-driven team focused on improving translational safety and reducing unnecessary animal testing