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Senior Machine Learning Engineer Jobs in Quincy, MA

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 ...

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Senior Machine Learning Engineer

Boston, MA ยท On-site

$170K - $205K/yr

About the position: We're looking for a Senior Machine Learning Engineer with deep expertise in some area of ML engineering to join our growing ML team and work closely with our software and computer ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$161K - $246K/yr

Overview: The ASUS Robotics & AI Center is seeking a Senior Machine Learning Engineer to join our global research and development team. This role centers on leading the design and delivery of ...

Senior Machine Learning Engineer

Boston, MA ยท Remote

$140K - $190K/yr

By joining our team as a Senior Machine Learning Engineer , you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for ...

Senior Machine Learning Engineer

Boston, MA ยท On-site +1

$133K - $175K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

Senior Machine Learning Engineer

Boston, MA ยท Remote

$125K - $165K/yr

Position Summary The Machine Learning Engineer will be responsible for the end-to-end development and deployment of Large language and machine learning models, with a primary focus on data ...

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Senior Machine Learning Engineer information

See Quincy, MA salary details

$62.6K

$133.1K

$192.9K

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

As of Sep 9, 2026, the average yearly pay for senior machine learning engineer in Quincy, MA is $133,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $150,900.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Senior Machine Learning Engineer jobs in Quincy, MA look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Quincy, MA are:

What cities near Quincy, MA are hiring for Senior Machine Learning Engineer jobs?

Cities near Quincy, MA with the most Senior Machine Learning Engineer job openings:

Infographic showing various Senior Machine Learning Engineer job openings in Quincy, MA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $133,069 per year, or $64 per hour.

Senior Machine Learning Engineer

Somerville, MA โ€ข On-site

Modulate
Software Developmentย โ€ขย 1 - 10 employees

$150 - $200/hr

Other

Medical, Dental, Vision, PTO

Posted yesterday

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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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