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Work From Home Machine Learning Jobs in Boston, MA

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Up to 8 weeks work-from-anywhere policy * A deeply inclusive, human-centered culture Pay ...

Machine Learning Engineer

Somerville, MA ยท On-site +1

$170K - $200K/yr

We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Up to 8 weeks work-from-anywhere policy * A deeply inclusive, human-centered culture Pay ...

Machine Learning Engineer

Burlington, MA ยท Remote

$165K - $200K/yr

Candidates must be legally authorized to work in the United States without employer sponsorship and ... Takes ownership and drives projects from concept through production. * Continuously explores new AI ...

Machine Learning Tutor

Lowell, MA ยท Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Machine Learning Tutor

Lynn, MA ยท Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Machine Learning Tutor

Newton, MA ยท Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Machine Learning Tutor

Cambridge, MA ยท Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Machine Learning Tutor

Somerville, MA ยท Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Machine Learning Tutor

Quincy, MA ยท Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Machine Learning Tutor

Waltham, MA ยท Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

Machine Learning Tutor

Boston, MA ยท Remote

$18 - $40/hr

... Machine Learning tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ...

If you want to work at the cutting edge of AI/ML and robotics with a company that's poised for ... from you. Responsibilities * Design, develop, and optimize ML models for computer vision and ...

This is a fantastic opportunity to work from the comfort of your own home, anywhere in the USA -- but we'd prefer you to be in the CST or EST time zone. What's the gig? Commission-based AgencyHub ...

This is a fantastic opportunity to work from the comfort of your own home, anywhere in the USA -- but we'd prefer you to be in the CST or EST time zone. What's the gig? Commission-based AgencyHub ...

This is a fantastic opportunity to work from the comfort of your own home, anywhere in the USA -- but we'd prefer you to be in the CST or EST time zone. What's the gig? Commission-based AgencyHub ...

This is a fantastic opportunity to work from the comfort of your own home, anywhere in the USA -- but we'd prefer you to be in the CST or EST time zone. What's the gig? Commission-based AgencyHub ...

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Showing results 1-20

Work From Home Machine Learning information

See Boston, MA salary details

$27.7K

$46.3K

$95.6K

How much do work from home machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for work from home machine learning in Boston, MA is $46,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,300.00 and $50,000.00 per year, depending on experience, location, and employer.

What jobs make $3,000 a month without a degree?

In the field of work from home machine learning, entry-level roles such as data labeling, annotation, or basic data entry can sometimes pay around $3,000 monthly, especially with experience or specialized tools. However, most higher-paying machine learning positions typically require relevant skills, certifications, or a degree, making such income levels less common without formal education or advanced expertise.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and while AI automation can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models. AI tools may augment their work, but the role is unlikely to be fully replaced in the near future due to the need for human expertise and oversight.

What is a Work From Home Machine Learning job?

A Work From Home Machine Learning job allows professionals to develop, train, and deploy machine learning models remotely. These roles typically involve tasks such as data preprocessing, model selection, optimization, and performance evaluation. Common industries for remote ML jobs include tech, healthcare, finance, and e-commerce. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and familiarity with cloud platforms are often required. Remote ML engineers collaborate with data scientists, software engineers, and business analysts to create AI-driven solutions.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and sometimes specialized certifications. These positions usually involve leadership, strategic planning, and cutting-edge development in AI technologies, and they tend to be well-compensated due to their complexity and impact.

What are the main challenges of working remotely in a machine learning role?

One of the main challenges of working remotely in a machine learning role is maintaining effective collaboration and communication with team members across different locations and time zones. Without face-to-face interactions, it can be more difficult to brainstorm, review complex models, or debug issues collaboratively. To overcome these obstacles, remote machine learning professionals frequently use project management tools, version control systems, and video conferencing to stay in sync with their teams. Strong self-motivation, proactive communication, and time management are essential for staying productive and connected while working from home.

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

To thrive as a Work From Home Machine Learning professional, you need a strong background in mathematics, programming (Python or R), and experience with machine learning algorithms, typically backed by a degree in computer science or related fields. Technical proficiency with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms such as AWS or Azure, as well as relevant certifications, is highly valuable. Excellent communication, problem-solving abilities, and self-discipline help you collaborate remotely and manage projects independently. These skills ensure you can effectively build and deploy models, overcome technical challenges, and contribute to distributed teams in a virtual setting.

Which 3 jobs will survive AI?

Work From Home Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as they require complex problem-solving, domain expertise, and ongoing innovation that AI tools currently cannot fully replicate. These jobs often involve developing, fine-tuning, and overseeing AI systems, which depend on advanced skills, programming, and critical thinking. Continuous learning and proficiency in programming languages like Python and frameworks such as TensorFlow are essential for these roles to remain relevant.
What are popular job titles related to Work From Home Machine Learning jobs in Boston, MA? For Work From Home Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Work From Home Machine Learning jobs in Boston, MA look for? The top searched job categories for Work From Home Machine Learning jobs in Boston, MA are:
What cities near Boston, MA are hiring for Work From Home Machine Learning jobs? Cities near Boston, MA with the most Work From Home Machine Learning job openings:
Machine Learning Engineer

Machine Learning Engineer

Modulate

Somerville, MA โ€ข On-site, Remote

$170K - $200K/yr

Full-time

Posted 21 days ago


Job description

Modulate is the leader in conversational voice intelligence. We enable enterprises to deeply understand how people communicate and take timely action based on those insights. Our products help detect harm, prevent fraud, and build safer, more trusted online and real-world voice environments. We are building a Conversation Intelligence Platform โ€” APIs, workflows, and applications that bring voice understanding to customers at enterprise scale.

We're looking for a Senior Machine Learning Engineer to help advance the state of voice understanding at Modulate. In this role, you'll design, train, evaluate, and deploy cutting-edge machine learning models that power our products. You'll work closely with researchers, engineers, product leaders, and executives to bring innovative ML solutions from concept to production.

Your Impact
  • Develop and deploy high-quality machine learning models that power Modulate's products
  • Advance our capabilities in conversational voice intelligence through applied research and engineering
  • Help translate business needs into scalable ML solutions
  • Improve model performance, reliability, and efficiency across our platform
  • Contribute to a collaborative, high-performing engineering culture
What You Will Do
  • Design, train, evaluate, and deploy machine learning models for production applications
  • Collaborate with engineers, researchers, product managers, and company leadership to define and execute on ML initiatives
  • Conduct experiments to improve model quality, accuracy, robustness, and scalability
  • Partner with platform and infrastructure teams to operationalize and monitor ML systems in production
  • Analyze model performance and identify opportunities for improvement
  • Communicate technical findings, tradeoffs, and recommendations to both technical and non-technical stakeholders
  • Contribute to technical strategy and help shape the future direction of Modulate's ML systems
  • Review code, share knowledge, and mentor teammates as needed
  • Stay current on advances in machine learning and identify opportunities to apply new techniques to our products
What We Are Looking For
  • Experience conducting machine learning research and shipping models to production
  • Strong experience building and deploying production-grade machine learning systems
  • Strong experience with Python and PyTorch
  • Experience designing experiments and evaluating model performance
  • Ability to work across research and engineering disciplines to deliver business impact
  • Strong communication skills and the ability to explain complex technical concepts clearly
  • Experience working collaboratively in cross-functional environments
Nice to Have
  • Experience communicating research externally through papers, conferences, or open-source contributions
  • Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)
  • Experience with cloud infrastructure, especially AWS
  • Experience building and maintaining large-scale ML infrastructure or MLOps systems
  • Experience in fast-paced startup environments
Benefits
  • Competitive salary + equity
  • Full health, dental, and vision coverage
  • Flexible PTO with a strong culture of taking it
  • Weekly team lunches with dietary accommodations
  • Hybrid work with core in-office days and flexible remote options
  • Leadership and technical learning sessions
  • Career development and continued growth support
  • Up to 8 weeks work-from-anywhere policy
  • A deeply inclusive, human-centered culture
Pay Transparency

Modulate believes in transparency as a cornerstone of equity and trust. Compensation for this role is based on seniority, skills, and experience.

Salary: $170,000โ€“$200,000
Equity: Offered

Additional benefits include HSA, FSA, 15 company holidays, and professional development resources.

Candidates may be located anywhere in the U.S., with preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

About Modulate

Modulate is on a mission to make voice a force for good online. Our tools help communities thrive by proactively detecting toxic behavior, protecting user identity, and empowering safety teams. We're trusted by leaders in gaming and beyondโ€”and we're growing fast.

We believe that great cultures don't just happen. That's why we've built a foundation of intentional systems: from bias-reducing hiring practices to transparent pay to tools that help teams collaborate across communication styles. At Modulate, we treat people like peopleโ€”and we're building technology that does the same.

Ready to join us? Apply here or reach out directlyโ€”we're excited to meet you.

A Quick Note as You Apply
  • Please apply through the website rather than emailing careers@modulate.ai.
  • For application questions ("Your fit for the role," "Your values/goals," and "Why Modulate?"), focus on relevant experience and motivations.
  • Avoid including protected demographic information.
  • Keep responses authentic and in your own voice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.