Machine Learning Engineer

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.

Responsibilities

Develop and deploy high-quality machine learning models; Advance capabilities in conversational voice intelligence through applied research and engineering; Help translate business needs into scalable ML solutions; Improve model performance, reliability, and efficiency; Design, train, evaluate, and deploy machine learning models for production applications; Collaborate with engineers, researchers, product managers, and company leadership; Conduct experiments to improve model quality, accuracy, robustness, and scalability; Partner with platform and infrastructure teams to operationalize and monitor ML systems; Analyze model performance and identify opportunities for improvement; Communicate technical findings and recommendations to technical and non-technical stakeholders; Contribute to technical strategy; Review code, share knowledge, and mentor teammates; Stay current on advances in machine learning

Requirements

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; HSA; FSA; 15 company holidays; Professional development resources