Top Machine Learning Jobs in Boston, MA

As a Senior Machine Learning Engineer at Capital One, you will be responsible for productionizing machine learning applications and systems at scale. Your role will involve designing, developing, and implementing machine learning applications using various technologies and platforms, ensuring high performance and availability. You will work closely with cross-functional teams to solve real-world business problems and continuously improve machine learning models.

Quality Engineering role focused on testing Machine Learning technologies. Responsibilities include test automation, analyzing results, creating test plans, and supporting dev/test environments. Requires a Bachelor's or Master's degree in Computer Science/Engineering with 3 years of work experience.

Senior Machine Learning Ops Engineer at Klaviyo responsible for building and improving tools, systems, and software services for data scientists, working with technologies like Kubernetes, Sagemaker, MLFLow, Spark, and PyTorch.

Seeking a Staff Machine Learning Platform Engineer to collaborate with various teams to develop and deploy ML applications, build ML infrastructure, utilize Kubernetes and AWS for model serving, and improve processes. Requires 7+ years of ML Platform/ML Ops Engineer experience and proficiency in Python, Kubeflow, LangChain, and LlamaIndex.

The Staff ML Generative AI Scientist will be responsible for designing, developing, and implementing cutting-edge generative artificial intelligence models and algorithms for healthcare applications. This role involves collaborating with cross-functional teams, conducting research, designing and developing AI models, evaluating their performance, and translating findings into practical solutions. The ideal candidate should have expertise in generative AI, healthcare, and experience in model design and evaluation.

As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy, and iterate on large scale Machine Learning systems. Collaborate with cross-functional teams to revolutionize the way people work and collaborate. Requires a BS or MS in Computer Science, 2+ years of experience, strong analytical skills, and proficiency in Python and C/C++.

Seeking a Senior Machine Learning Engineer to develop and support infrastructure for data science and AI models. Responsibilities include developing data pipelines, infrastructure deployment, CI/CD pipelines, testing environments, APIs, data platforms, and cloud infrastructure maintenance. The position requires a Bachelor's degree in computer science or related field, proficiency in Python, AWS, containers, Git, and experience with enterprise cloud environments. Compensation ranges from $133,800 to $174,800 per year.