Role Overview
Modulate is hiring a Machine Learning Engineer. This is a full-time role in Somerville. Part of Modulate's Data Science hiring, posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Data Science roles is $160k-$215k (based on 62 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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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 — 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: $170,000–$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 beyond—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 people—and we're building technology that does the same.
Ready to join us? Apply here or reach out directly—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.
About Modulate
Modulate
modulate.ai
Frequently Asked Questions
How do I apply for the Machine Learning Engineer position at Modulate?
Use the Apply button above to submit your application directly to Modulate. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Machine Learning Engineer position at Modulate located?
This position is based in Somerville. Modulate has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Machine Learning Engineer at Modulate earn?
Modulate has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Machine Learning Engineer role at Modulate posted?
This role was posted on June 25, 2026 (15 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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