Note: The job is a remote job and is open to candidates in USA. Modulate is the leader in conversational voice intelligence, enabling enterprises to understand communication and act on insights. They are seeking a Senior Machine Learning Engineer to design, train, evaluate, and deploy machine learning models that enhance their voice understanding products.
Responsibilities
- 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
Skills
- 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
- 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
- Additional benefits include HSA, FSA, 15 company holidays, and professional development resources
Company Overview
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