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Machine Learning Jobs in Warwick, RI (NOW HIRING)

Brownhealth

Research Assistant

Providence, RI

$41K - $68K/yr

Develop and apply machine learning tools to analysis genomic and MRI datasets. Assist in the design and implementation of computational and experimental protocols to support laboratory research ...

Brown University Health

Research Assistant

Providence, RI · On-site

$41K - $68K/mo

Develop and apply machine learning tools to analysis genomic and MRI datasets. Assist in the design and implementation of computational and experimental protocols to support laboratory research ...

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All JobsMachine Learning JobsMachine Learning Jobs in Warwick, RI

Machine Learning information

See Warwick, RI salary details

$24.9K

$41.6K

$85.9K

How much do machine learning jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning in Warwick, RI is $41,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,700.00 and $44,900.00 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 in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are popular job titles related to Machine Learning jobs in Warwick, RI? For Machine Learning jobs in Warwick, RI, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Warwick, RI look for? The top searched job categories for Machine Learning jobs in Warwick, RI are:
What cities near Warwick, RI are hiring for Machine Learning jobs? Cities near Warwick, RI with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Warwick, RI as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $41,572 per year, or $20 per hour.
Director Artificial Intelligence and Machine Learning (59360)

Director Artificial Intelligence and Machine Learning (59360)

AAA Northeast

Providence, RI • On-site, Remote

$6.0K/mo

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

AAA Northeast rating

7.8

Company rating: 7.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

158th of 281 rated insurance

Job description


What You Will Do:

  • Develop and communicate the enterprise AI vision, establishing a multi-year technical strategy that advances innovation, scalability, and competitive differentiation.
  • Build, mentor, and lead high-performing cross-functional AI/Machine Learning teams, fostering technical excellence, collaboration, and a culture of continuous learning.
  • Own the AI roadmap and investment portfolio, prioritizing initiatives that balance near-term business impact with long-term innovation goals.
  • Drive frontier research in machine learning, deep learning, and generative AI, identifying emerging capabilities and translating them into strategic advantage.
  • Lead rapid prototyping of novel algorithms, model architectures, and experimentation frameworks to accelerate discovery and validate new opportunities.
  • Align AI initiatives with enterprise priorities, partnering with senior stakeholders to define use cases, success metrics, and measurable ROI targets.
  • Translate research breakthroughs into scalable, production-ready solutions by guiding model development, deployment, and operationalization across the organization.
  • Serve as a thought leader for the organization by representing the company in industry conferences, strategic partnerships, and external publications.

What You Will Need

  • Master's Degree Computer Science, AI/ML, or related field required
  • PhD Computer Science, AI/ML, or related field preferred
  • 10+ years AI and Machine Learning  required 
  • 5+ years Leadership roles  required 
  • 3+ years Experience managing teams of data scientists and engineers  required 
  • Certifications in cloud platforms (AWS, Azure, or Google Cloud)  preferred
  • Certifications in AI, machine learning, or data science  preferred

Why AAA Northeast

Career Growth: With ongoing world-class training and proven career paths, you'll have the opportunity to develop expertise and advance your career within AAA Northeast. 
Trusted Legacy: With over 120 years of service excellence, we have a long track record of protecting our members as well as our employees and their families. 
Future-Focused: With new business offerings and increasing digital presence, we are focused on innovating for the future to sustain our success. 

What We Offer

  • Award-Winning: We’ve been named as a Top Employer for the last 7 years 
  • Health Coverage: Medical coverage with employer contributions covering up to 93% of the premium cost, plus dental and vision options. 
  • Retirement: 6% company match on 401(k) retirement plan contribution, with contributions fully vested and made every pay period 
  • Paid Time off: 3 weeks’ vacation, 12 holidays, 8 sick days, 48 hours of volunteer time annually 
  • Additional Perks: Free AAA membership, insurance discounts, travel commission refund, up to $625 in Wellness Incentives, up to $6k in tuition reimbursement, and more! 
  • Compensation: Competitive base pay, annual bonus opportunities, and for certain roles, additional monthly and/or quarterly incentive compensation. The posted salary range represents the full range grade for this role, with individual pay based on job-related skills, experience, shift, and geographic location.

At AAA Northeast, how we work together matters. We are a highly collaborative organization that values connection, transparency, and trust. Our “cameras on” approach during virtual meetings reflects our expectation that team members are present, engaged and actively participating, helping to build strong working relationships and a sense of shared accountability, no matter where we’re located. 
We are also proud of our diverse culture, shaped by the talents, experiences, and perspectives of our employees. AAA Northeast is an equal opportunity employer and is committed to fair and equitable practices in recruiting, hiring, and advancement. We do not discriminate based on race, color, creed or religion, national origin, sex, age, sexual orientation, veteran status, gender identity or expression, disability, genetic information, marital status, pregnancy, or membership in any other protected class. We thrive when our team members bring their whole selves to work.

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