2

Remote Senior Machine Learning Engineer Jobs in Fall River, MA

Senior Java Engineer (Remote)

Carolina, RI · Remote

$125K - $165K/yr

Overview This is a remote role that may only be hired in the following location(s): AZ, NC and TX. We are looking for a hands-on Senior Software Engineer to join our growing Online Banking delivery ...

Senior Java Engineer (Remote)

Carolina, RI · Remote

$125K - $165K/yr

Overview This is a remote role that may only be hired in the following location(s): AZ, NC and TX. We are looking for a hands-on Senior Software Engineer to join our growing Online Banking delivery ...

Senior Database Engineer

Mansfield, MA · On-site +1

$112K - $152K/yr

Senior Database Engineer eClinical Solutions is transforming clinical development with elluminate ... to learning yours! eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We ...

Senior Database Engineer

Mansfield, MA · On-site +1

$112K - $152K/yr

Senior Database Engineer eClinical Solutions is transforming clinical development with elluminate ... to learning yours! eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We ...

next page

Showing results 1-20

Remote Senior Machine Learning Engineer information

See Fall River, MA salary details

$75.8K

$143.8K

$192.7K

How much do remote senior machine learning engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for remote senior machine learning engineer in Fall River, MA is $143,842.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,000.00 and $162,100.00 per year, depending on experience, location, and employer.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

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

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Fall River, MA? For Remote Senior Machine Learning Engineer jobs in Fall River, MA, the most frequently searched job titles are:
What cities near Fall River, MA are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Fall River, MA with the most Remote Senior Machine Learning Engineer job openings:
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 10 days ago


AAA Northeast rating

7.8

Company rating: 7.8 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

174th of 299 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.


What AAA Northeast employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom