Top Artificial Intelligence Engineer Jobs in Boston
Seeking an experienced Senior Distinguished Engineer, AI Systems to build the foundations of enterprise AI capabilities. Responsibilities include designing robust infrastructure, building distributed training clusters, deploying ML models, and supporting AI research and development.
Seeking an experienced Senior Distinguished Engineer, AI Systems, to help build the foundations of our enterprise AI Capabilities. Responsibilities include designing robust infrastructure, building large-scale distributed training clusters, deploying ML models, and supporting AI research and development.
Experienced Senior Distinguished Engineer in AI Systems needed to build the foundations of enterprise AI Capabilities at Capital One. Responsibilities include designing robust infrastructure, building large-scale distributed training clusters, deploying ML models on GPU instances, and supporting AI research and development in a public cloud environment.
Join Capital One as a Senior Generative AI Engineer, building and maintaining APIs and SDKs for Large-Language Models. Work with a world-class AI team to enable real-time customer-facing applications and enhance user experiences with AI capabilities.
Join Capital One as a Senior Generative AI Engineer to build and maintain APIs and SDKs for AI models, work with Large-Language Models, and enhance customer experiences through AI technology.
Experienced Lead Generative AI Engineer responsible for building and maintaining APIs and SDKs to train, fine-tune, and access AI models at scale. Work on Large-Language Models and Foundation Models using public cloud infrastructure. Design and implement key API products for real-time customer-facing applications. Develop tools for monitoring API access patterns and operational health.
Looking for an experienced Lead Generative AI Engineer to build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale for real-time customer-facing applications. Responsibilities include designing and implementing key API products, enabling users to work with Large-Language Models (LLMs) and Foundation Models (FMs), and developing tools for monitoring API access patterns and operational health.
Looking for an experienced Lead Generative AI Engineer to build and maintain APIs and SDKs for AI models at scale. Responsibilities include architecting, designing, and implementing key API products and services. Requires at least 6 years of experience in data-intensive solutions and programming with Python, Go, Scala, or Java.
Featured Jobs
Deploy scalable machine learning solutions for computer vision and audio processing at Wasabi. Collaborate with engineers to optimize model performance and contribute to high-quality model production.
Looking for a Senior Lead Engineer in Generative AI Infrastructure at Capital One to work on building large-scale distributed training clusters, deploying ML models, and supporting AI research and development in public cloud infrastructure.
As Lead Software Engineer (ML Platform), you will play an instrumental role in advancing our core machine learning platform and infrastructure. You will work with AI research teams to turn cutting-edge machine learning models into commercial products.
Join the Signal Processing team at WHOOP focusing on deep learning. Responsibilities include analyzing biosensor systems, designing and implementing DL/ML models, optimizing algorithms, writing clean code, and staying updated with DL advancements. Qualifications include a PhD or Master's in relevant field, expertise in ML/DL techniques, proficiency in Python and ML/DL libraries, and experience with cloud computing resources.
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.
Seeking an experienced Senior Generative AI Engineer to build and maintain APIs and SDKs for training and accessing AI models at scale. Responsibilities include designing and implementing key API products and services to enable real-time customer-facing applications, developing application-specific interfaces, and ensuring AI safety and guardrails in the API layer.
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.
Staff Machine Learning Engineer position at Chewy.
As a Lead Principal Machine Learning Software Engineer, you will be instrumental in steering the development and deployment of advanced machine learning algorithms. Your responsibilities will include designing system and model architectures, conducting experiments and evaluations, and mentoring ML engineers.
Design and develop next-generation AI systems to improve customer experience and offer relevant travel products. Lead projects related to NLP, recommendations, and topic detection. Collaborate with cross-functional teams to translate business requirements into machine learning solutions. Stay updated on latest trends and technologies in machine learning.
Lead a team of machine learning engineers working on computer vision tasks using cutting-edge technologies such as LLM and GenAI to enhance image and video processing. Collaborate with cross-functional teams to develop and deploy machine learning models and systems, drive innovation, and improve customer experience in the travel industry.
Top Boston Companies Hiring Artificial Intelligence Engineers
See All
All Filters
No Results
No Results
