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Senior Machine Learning Engineer

ModulateSomerville, MAMachine Learning Engineering
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Salary
$170K - $200K USD
Job type
Full-time
Work mode
Remote
Posted
27 Aug 2026
Status
Open · checked 7d ago

About this role

Role Overview

Modulate is seeking a Senior Machine Learning Engineer to join their team in Somerville, Massachusetts, with flexible remote options available across the United States. This full-time position suits an experienced professional passionate about designing, training, evaluating, and deploying cutting-edge machine learning models for conversational voice intelligence products.

Key Responsibilities

Build and launch high-quality machine learning models that directly power the core products of the organization.
Collaborate closely with researchers, product managers, engineers, and company leadership to shape machine learning initiatives.
Execute experiments aimed at boosting model quality, accuracy, scalability, and robustness.
Partner alongside infrastructure and platform teams to monitor and operationalize machine learning systems in production.
Review code, share technical knowledge, and mentor colleagues while analyzing model performance for ongoing enhancements.

Requirements

Demonstrated background in conducting machine learning research and successfully delivering production-grade models.
Extensive practical experience in building and deploying robust machine learning systems.
Proficient programming abilities utilizing Python and PyTorch.
Proven skill set in designing rigorous experiments and evaluating model performance accurately.
Excellent communication capabilities to convey intricate technical concepts to both technical and non-technical audiences alike.
Ability to thrive while collaborating within multidisciplinary and cross-functional teams.

Nice to Have

Background in sharing research externally through open-source contributions, papers, or conferences.
Familiarity working with speech systems and audio models including text-to-speech, automatic speech recognition, and speaker modeling.
Previous exposure to cloud computing infrastructure, particularly Amazon Web Services.
Experience in maintaining or constructing large-scale MLOps systems and machine learning infrastructure.
Past employment history within fast-moving startup environments.

Skills and Tools

Python
PyTorch
AWS
MLOps
Machine Learning Research and Experimentation
Production Model Deployment

Salary and Benefits

Competitive annual salary ranging between $170,000 and $200,000 USD.
Equity offerings.
Comprehensive medical, dental, and vision health coverage alongside HSA and FSA options.
Flexible paid time off supported by a strong company culture.
Up to an eight-week work-from-anywhere policy.
Weekly team lunches featuring dietary accommodations.
Hybrid work model combining flexible remote options with core in-office days.
Fifteen company holidays plus continuous career development and learning support.

About the Company

Modulate operates as an industry leader in conversational voice intelligence, focusing on helping enterprises understand human communication to take timely actions. The organization creates scalable APIs, workflows, and applications designed to detect harm, prevent fraud, and foster safe voice environments online and offline. Committed to transparency, equity, and trust, Modulate cultivates a deeply inclusive and human-centered workplace culture.

How to Apply

Interested candidates should visit the official company careers page to submit their application directly through the website.

Skills and tech stack

PythonPyTorchAWSMLOps

Questions candidates ask

What is the salary range for the Senior Machine Learning Engineer role?

The annual salary for this position ranges from $170,000 to $200,000 USD, alongside equity and additional benefits.

Is this position remote?

Yes, candidates may be located anywhere in the United States, though there is a preference for proximity to major tech hubs such as Boston, San Francisco, Seattle, New York, or Austin.

What core technical skills are required?

Applicants must have strong experience with Python, PyTorch, building and deploying production-grade machine learning systems, and conducting machine learning research.

What additional benefits are included with the job?

Benefits include full health, dental, and vision coverage, flexible PTO, HSA and FSA options, 15 company holidays, weekly team lunches, and up to 8 weeks of remote work from anywhere.

How should I submit my application?

Candidates should apply directly through the official Modulate website rather than via email.

Ready to apply?

The application is on the official Modulate careers page.

Apply on company site