Senior Machine Learning Engineer

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
• Translate needs from Product and Commercial teams 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 Product, Engineering, and Commercial partners, including sales, partnerships, and customer success, 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

• 5+ years building and deploying production-grade machine learning systems, including models you have shipped and owned in production
• Experience training, evaluating, or deploying models on audio, speech, or spoken-language data, such as ASR, TTS, speaker modeling, or NLP on conversational transcripts
• Strong experience with Python and a modern deep learning framework, with PyTorch preferred
• Experience designing experiments and evaluating model performance
• Experience working directly with product managers and customers to turn requirements into model specifications
• Strong communication skills and the ability to explain complex technical concepts clearly

Nice to Have

• Experience communicating research externally through papers, conferences, or open-source contributions
• Experience serving models on 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
• Based in our Somerville, MA office with core in-office days
• 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.

This role is based in Somerville, MA, with core in-office days. We will consider exceptional remote candidates within the United States.

A Quick Note as You Apply

• In your written answers, please leave out protected demographic information, and write in your own voice.