Senior Machine Learning Engineer

Modulate•Somerville, MA

1d•Hybrid

About The Position

Modulate is hiring a Senior Machine Learning Engineer to advance voice understanding across its Conversation Intelligence Platform. The role designs, trains, evaluates, and deploys machine learning models for production products, bringing applied research and engineering from concept to production. The engineer works with researchers, engineering, product, commercial teams, and executives to turn customer and product needs into scalable machine learning solutions. The role also helps improve model performance, reliability, and efficiency and contributes to the technical direction and collaborative engineering culture.

Requirements

5+ years of experience building and deploying production-grade machine learning systems, including models shipped and owned in production.
Experience training and evaluating deep learning models on audio, speech, or other signal and multimodal data, such as images, video, or time series.
Strong experience with Python and a modern deep learning framework.
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 Haves

Audio experience.
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 machine learning infrastructure or MLOps systems.
Experience in fast-paced startup environments.
Experience with PyTorch, the preferred deep learning framework.

Responsibilities

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 machine learning initiatives.
Conduct experiments to improve model quality, accuracy, robustness, and scalability.
Partner with platform and infrastructure teams to operationalize and monitor production machine learning systems.
Analyze model performance and identify opportunities for improvement.
Communicate technical findings, tradeoffs, and recommendations to technical and non-technical stakeholders.
Contribute to technical strategy and help shape the future direction of Modulate's machine learning systems.
Review code, share knowledge, and mentor teammates as needed.
Stay current on machine learning advances and identify opportunities to apply new techniques to Modulate's products.