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Machine Learning Qa Jobs in Massachusetts (NOW HIRING)

Senior Machine Learning Engineer

Somerville, MA ยท On-site

$170K - $200K/yr

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 ...

Machine Learning Engineer - Hybrid

Boston, MA ยท On-site

$100K - $120K/yr

Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines * Proficiency in Python and SQL * Experience with cloud data or ML platforms (e.g., AWS ...

Bevi is looking for a Software QA Engineer to join our growing engineering team. In this role, you ... Validate firmware behavior on physical machines and test hardware, including sensors, dispensing ...

Machine Learning Engineer - Hybrid

Boston, MA ยท On-site

$100K - $120K/yr

Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines * Proficiency in Python and SQL * Experience with cloud data or ML platforms (e.g., AWS ...

Machine Learning Engineer - Hybrid

Boston, MA ยท On-site

$100K - $120K/yr

Experience developing data preparation, validation, or quality-checking tooling for machine learning pipelines * Proficiency in Python and SQL * Experience with cloud data or ML platforms (e.g., AWS ...

They are seeking a Founding Machine Learning Engineer to own the development of matching algorithms ... and quality SLOs. โ€ข Instrument model monitoring: drift detection, prediction distribution ...

ACCELERATING YOUR FUTURE The QA Training Specialist is a position responsible for supporting ... Support user administration of the Learning Management System * Support review and approval of ...

Showing results 41-60

Machine Learning Qa information

See Massachusetts salary details

$16

$49

$70

How much do machine learning qa jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for machine learning qa in Massachusetts is $49.01, according to ZipRecruiter salary data. Most workers in this role earn between $39.90 and $59.62 per hour, depending on experience, location, and employer.

What is a machine learning QA?

A Machine Learning QA (Quality Assurance) professional is responsible for testing and validating machine learning models to ensure accuracy, reliability, and performance. They design test cases, create automated testing pipelines, and identify biases or errors in datasets and model outputs. Their role bridges software testing and data science, ensuring that ML systems function correctly in production.

What does a machine learning QA do?

A Machine Learning QA professional is primarily responsible for designing, implementing, and executing test plans to ensure the quality and performance of machine learning models and their integration into software products. This often involves developing automated tests, validating dataset integrity, monitoring model outputs, and collaborating closely with data scientists and developers to resolve issues. Additionally, you may participate in code reviews, maintain testing documentation, and contribute to continuous improvement of testing processes. The role is collaborative and requires balancing technical rigor with practical problem-solving to help deliver robust AI-powered applications.

What skills and qualifications are needed for a machine learning QA?

Success as a Machine Learning QA requires a solid understanding of software testing principles, machine learning concepts, and programming skills, typically supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow or PyTorch, and QA automation frameworks, as well as relevant certifications in software testing or ML, are often advantageous. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for ensuring machine learning models function as intended, meet quality standards, and integrate smoothly into production environments.

What are popular job titles related to Machine Learning Qa jobs in Massachusetts?

For Machine Learning Qa jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Machine Learning Qa jobs in Massachusetts look for?

The top searched job categories for Machine Learning Qa jobs in Massachusetts are:

Infographic showing various Machine Learning Qa job openings in Massachusetts as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 76% Full Time, 18% Part Time, and 4% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $101,936 per year, or $49 per hour.

Senior Machine Learning Engineer

Somerville, MA โ€ข On-site

Modulate
Software Developmentย โ€ขย 1 - 10 employees

$170K - $200K/yr

Other

Medical, Dental, Vision, PTO

Posted 6 days ago


Job description

About the Company

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 cuttingโ€‘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, highโ€‘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 nonโ€‘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 productionโ€‘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 crossโ€‘functional environments

Nice to Have
  • Experience communicating research externally through papers, conferences, or openโ€‘source contributions

  • Experience with audio models or speech systems (ASR, TTS, speaker modeling, etc.)

  • Experience with cloud infrastructure, especially AWS

  • Experience building and maintaining largeโ€‘scale ML infrastructure or MLOps systems

  • Experience in fastโ€‘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 inโ€‘office days and flexible remote options

  • Leadership and technical learning sessions

  • Career development and continued growth support

  • Up to 8 weeks workโ€‘fromโ€‘anywhere policy

  • A deeply inclusive, humanโ€‘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 biasโ€‘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.

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