Machine Learning Engineer

Modulate

Senior Machine Learning Engineer designing, training, and deploying machine learning models for voice intelligence at Modulate. Collaborating with cross-functional teams to enhance conversational voice intelligence solutions.

Posted 6/25/2026full-timeSomerville • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $170,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudPythonPyTorch

About the role

Key responsibilities & 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
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

Requirements

What you’ll need

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

Comp & perks

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

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Hard Skills & Tools

machine learningPythonPyTorchMLOpsmodel performance evaluationexperiment designmodel deploymentaudio modelsspeech systemscloud infrastructure

Soft Skills

communication skillscollaborationmentorshiptechnical strategycross-functional teamworkproblem-solvingadaptabilityresearch communication