Top Machine Learning Jobs in Boston, MA
As a Machine Learning Engineering Manager, you will lead a team to implement MLOps practices, manage machine learning projects, mentor engineers, and oversee the development of ML pipelines. Collaboration with Data Science and Data Architecture teams is crucial to drive innovation and ensure best practices in machine learning.
The Senior Data Scientist will conduct research on emerging technologies in AI, develop machine learning models, refine integration patterns for these models, and collaborate with business and product teams to enhance customer experiences and business outcomes.
The Senior Lead Machine Learning Scientist will develop and implement machine learning algorithms, focusing on deep learning for multimodal data problems. This role involves leading research projects, collaborating with cross-functional teams, and staying current with advancements in AI and machine learning.
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The Applied AI Scientist will develop advanced algorithms for solving high-dimensional problems, execute statistical and data mining techniques on large data sets, evaluate emerging datasets for analytics, and contribute to thought leadership. They will also focus on feature engineering from varied data sources and expertise in machine learning algorithms.
The Senior Machine Learning Engineer will design and deliver ML solutions, develop APIs, maintain ML infrastructure, mentor team members, and troubleshoot issues. They will engage in code reviews and collaborate with teams to create software products tailored to customer needs.
As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.
As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.
As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.
As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.
The Senior Staff Scientist will lead the development of hybrid AI applications optimized for various platforms, collaborate with teams to integrate quantum algorithms, and foster client relationships while representing the company at conferences. The role also includes discovering new algorithms and developing core intellectual property in quantum computing.
Top Companies in Boston, MA Hiring Data + Analytics Roles
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