Top Machine Learning Jobs in Boston, MA

Design and develop geometry processing algorithms and simulation services for engineering applications, focusing on integrating machine learning with practical engineering tasks.

The Senior Engineer in Machine Learning will develop algorithms using machine learning techniques on biomedical datasets, prototype solutions, and collaborate with teams to ensure data quality and performance measures.

The Senior Algorithms Engineer will design, develop, and optimize signal processing algorithms for digital healthcare solutions, focusing on real-time systems and collaboration across teams.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

Lead design and development of AI-driven content generation engine, optimize technical architecture, and prototype new features, focusing on modular LLM integration and automated workflows.

The Senior Solutions Architect II will provide technical expertise in AI/ML and cloud infrastructure, assisting customers with architecture, deployment, and optimization while collaborating with sales and product teams.

Lead the development of AI/ML algorithms for signals exploitation, estimation theory, and resource management. Collaborate and lead teams in a national security context.

The Director of AI Empowerment will lead initiatives to drive adoption of AI and GenAI tools across Zelis, enhance productivity, and ensure alignment with business outcomes through training, evaluation of emerging technologies, and collaboration with executive leadership.

Seeking experienced Equity Research professionals to improve generative AI tools for financial analysis, requiring expertise in equity research, forecasting, and valuation methodologies.

The Staff Machine Learning Engineer will design and build scalable ML systems for health insights, collaborating with cross-functional teams to ensure compliance and quality in production-ready services.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Lead Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, ensure model performance, and build cloud-based infrastructures.

The Principal Machine Learning Scientist II drives deep learning for biologics discovery, focusing on protein and antibody design through advanced modeling strategies and collaboration with scientists.

The Principal Data Scientist will leverage machine learning and data engineering to enhance safety evaluations and translational research in pharmaceuticals, collaborating with experts to create predictive models and AI-ready datasets.

The Head of Data Science & AI Engineering leads Ipsen's technical strategy in advanced analytics and AI, overseeing data products, mentoring teams, and ensuring compliance in a dynamic biopharmaceutical environment.

Design and optimize machine learning algorithms for sectors like energy and healthcare. Conduct simulations, validate performance, and collaborate with teams.

The Senior Director will lead the vision for AI-driven solutions in Supply Chain, optimizing operations and driving innovative strategies across global networks.

Lead the development of AI-enabled data science solutions within ITS, enhancing investment outcomes through advanced analytics and machine learning, collaborating with investment teams to drive performance and risk management success.

As an AI Research Scientist II, you will develop and prototype AI solutions, advance drug design campaigns, and publish research while collaborating cross-functionally on cheminformatics and bioinformatics.

The intern will assist with AI research and development, including prototyping AI models, collaborating on projects, and documenting findings.

The Machine Learning Engineer will design, implement, and manage complex ML algorithms, focusing on computer vision and data analysis while collaborating with team members to transition algorithms to production.

The Technical Lead for ML Operations at WHOOP will drive the strategy and execution of ML infrastructure, lead a small team, design scalable systems, and collaborate with multiple stakeholders to enhance the ML platform.

The Staff/Senior Applied Scientist will design and deploy GenAI and ML systems, focusing on multi-agent optimization, production deployment, and collaboration with engineering teams.