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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** Modulate, Inc. - **Location:** Somerville, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $170,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Cloud Computing, Code Review, Python (Programming Language), Machine Learning, Pytorch, Free and Open-Source Software, Machine Learning Operations, Multiaccess Edge Computing - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f5bac8b504826ca9 ## About the Role 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 ## 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 ## Related Videos - [The state of MLOps - machine learning in production at enterprise scale](https://www.wearedevelopers.com/videos/369-the-state-of-mlops-machine-learning-in-production-at-enterprise-scale) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML ](https://www.wearedevelopers.com/videos/78-leverage-cloud-computing-benefits-with-serverless-multi-cloud-ml) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)