Top Machine Learning Jobs in Boston, MA

As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.

As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.

The AI scientist will modify and fine-tune large language models to improve human interaction, enable external tool calling, manage model alignment based on deployment feedback, and engage in model pre-training. Strong expertise in generative AI and MLOps is essential, along with proficiency in AI frameworks like TensorFlow and PyTorch.

As a Senior Machine Learning Engineer at Enigma, you will develop scalable ML systems, enhance entity resolution algorithms, and improve machine learning infrastructure, directly impacting business decisions for customers. You will collaborate with data scientists and engineers to innovate and maintain high-performance systems.

As a Principal MLOps Engineer, you will architect and optimize ML inference platforms, collaborate with teams for engineering solutions, and lead high-performance teams in developing efficient inference systems.

As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.

The Head of Applied AI will manage and lead the Applied AI Research team, overseeing the development and integration of cutting-edge AI technologies into products. Responsibilities include leading research projects, mentoring team members, developing research strategies, and representing the company at events.