Top Machine Learning Jobs in Boston, MA
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior Scientist in Machine Learning will develop generative models and algorithms for protein design, scale systems using GPU resources, and collaborate with both computational and wet lab teams to create new therapeutics. The role also involves engineering machine learning systems for large-scale applications and presenting research findings.
The role involves developing generative models and algorithms for protein design, scaling systems for data utilization, collaborating with lab teams, and engineering ML systems for therapeutic applications.
Indico Data is seeking enthusiastic candidates for any roles that may become available in the future. The company specializes in automating intake workflows for document-intensive industries, improving accuracy and speed in decision-making processes.
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.
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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.
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As a Staff Data Scientist at Coinbase, you will build advanced models, provide technical mentorship, and develop novel experimentation techniques to drive business value. Your role will involve creating sequential features based on user behavior and quantifying the impact of negative experiences on the platform.
As a Senior Machine Learning Engineer, you will design and develop machine learning applications, conduct experiments, work collaboratively with engineers, engage with clients, and mentor project teams, focusing on practical AI solutions for clients.
The Principal AI Research Scientist will lead innovative research in AI and machine learning, develop algorithms, manage R&D projects, and collaborate with academic and industry leaders. This role involves contributing to product vision and roadmap, conducting competitive analysis, and working closely with customers to align product offerings with their needs.
Top Companies in Boston, MA Hiring Data + Analytics Roles
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