Machine Learning Engineer
Role details
Job location
Tech stack
Job description
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., * 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
Requirements
Do you have experience in Technical research projects?, * 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 & conditions
Pulled from the full job description
- Health insurance
- Paid time off
- Vision insurance
- Health savings account
- Dental insurance
- Flexible spending account, * 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.