Top Machine Learning Engineer Jobs in Boston, MA
Design, develop, and implement machine learning models for various applications. Research and implement state-of-the-art machine learning algorithms. Design and implement cloud architectures for machine learning workflows. Collaborate with cross-functional teams to deliver effective solutions.
Build, orchestrate, and monitor model pipelines including feature engineering, scaling machine learning algorithms, and implementing ML Ops. Write production-ready code, collaborate with client teams, and contribute to researching latest technologies.
Lead development and deployment of critical machine learning and deep learning models. Mentor teammates and engage with engineering leadership to define processes for ML creation and deployment.
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++.
This Staff Machine Learning Engineer position at ServiceNow involves building AI and Machine Learning solutions to enhance user experience and workflow efficiency of enterprise services. Responsibilities include developing and implementing machine learning models, supporting data preparation and scoring, and optimizing predictions and recommendations for the Enterprise Data Platform.
Hiring a Principal Machine Learning Engineer/Data Scientist at Chewy to work on model development, optimization, tuning, and experimentation. Responsible for collaborating with cross-functional teams to enhance customer experience through personalized recommendations and search functionalities. Requires advanced degree or 10+ years of experience in data science and machine learning.
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.
Seeking a Senior ML Engineer to accelerate and improve ML development cycle, design innovative ML solutions integrating structured and unstructured data, and work closely with cross-functional teams to meet customer needs and drive business value.
Featured Jobs
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.
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.
Building next generation Large Language Models for Enterprise Language Generation, applying AI/ML expertise to solve real-world challenges, collaborating with a team of developers and researchers, and contributing to the design and scaling of AI-first platform offerings at ServiceNow.
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.
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.
Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Design, build, evaluate, deploy, and iterate on large-scale Machine Learning systems. Collaborate with cross-functional teams to create delightful new experiences. Impact millions of users and revolutionize the way people work and collaborate.
Top Boston Companies Hiring Machine Learning Engineers
See All
.jpg)
All Filters
No Results
No Results
