Top Artificial Intelligence Engineer Jobs in San Francisco, CA
Seeking an experienced Senior Generative AI Engineer to design and implement APIs and SDKs for training and accessing AI models at scale. Responsibilities include building core APIs, designing for performance and real-time applications, and enhancing customer experiences with LLMs and FMs.
Design, build, and integrate batch inference services and tooling using Generative AI and Machine Learning for Financial Crimes Technology at Cash App. Lead infrastructure development, prototyping, and collaboration with cross-functional teams to optimize operations. Strategic ownership and leadership responsibilities included.
Join Writer as an AI Engineer to develop and implement state-of-the-art generative AI models and algorithms, collaborating with a dynamic team to drive innovative products. Evaluate AI model performance, deploy applications in production, and integrate AI capabilities into systems for scalability and efficiency. Stay updated on AI advancements, translate business requirements into AI solutions, and ensure robust system design and implementation.
Join Apple as a Senior Computer Vision and Generative AI Engineer to work on cutting-edge technologies for future products. Collaborate with cross-functional teams to solve challenging problems and innovate in the field of 3D computer vision algorithms and generative models.
Looking for a Software Engineer with 5+ years of experience to join the Core Machine Learning team at Whatnot. Responsibilities include driving the development of machine learning operations, enhancing machine learning infrastructure, developing scalable design patterns, improving model training and management, deploying ML models, and defining technical approaches to scalable machine learning.
As a Distinguished Engineer at Capital One, you will lead large-scale machine learning initiatives to solve challenging business problems in the financial services industry. You will provide technical leadership, design and implement machine learning applications, optimize data pipelines, and mentor engineering teams. The role requires at least 10 years of experience in data-intensive solutions using distributed computing, proficiency in Python, Scala, C, C++, and expertise in machine learning development lifecycle.
Hiring Senior Machine Learning Engineers to join the ML Platform team. Responsible for building a scalable Machine Learning platform.
This is a senior-level role for a Distinguished Engineer, Generative AI Systems. The engineer will be responsible for designing and building infrastructure for large-scale AI systems, deploying ML models, optimizing training clusters, and implementing MLOps capabilities.
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Design and implement machine learning solutions for the visual and text-based search and discovery system at Roblox, focusing on user understanding and content generation. Collaborate with teams to prioritize user needs and drive product improvements. Communicate with industry and communities.
Looking for a Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team. Responsibilities include building self-service tooling for feature engineering, collaborating with internal teams, leading design discussions, mentoring teammates, and ensuring platform reliability. Requires 8+ years of experience in software engineering and machine learning engineering.
The Software Engineer, Machine Learning will collaborate across machine learning, platform, and product engineering teams to develop scalable solutions using data and machine learning engineering. Responsibilities include training models, contributing to various serving stacks, building ML infrastructure, developing communication devices, and advancing technical approaches to scalable machine learning.
Looking for a Senior Distinguished Engineer experienced in AI and ML to help build enterprise AI capabilities, design infrastructure, and support AI research and development. Responsibilities include designing fault-tolerant infrastructure, building large ML models, deploying training clusters, and implementing MLOps for foundation models.
Seeking a Senior Generative AI Engineer to build and maintain APIs and SDKs to train, fine-tune, and access AI models at scale. Responsibilities include designing and implementing key API products and services for real-time customer-facing applications.
Seeking a Senior Generative AI Engineer to build and maintain APIs and SDKs for AI models at scale, work with Large-Language Models (LLMs) and Foundation Models (FMs, and design key API products for real-time customer-facing applications.
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Drive the development and implementation of cutting edge machine learning algorithms to build transformative developer AI products and services. Design system and model architectures, conduct rigorous experimentation, and provide guidance to emerging ML engineers.
Seeking experienced Senior Generative AI Engineer to build and maintain APIs and SDKs for training and accessing AI models at scale. Join a world-class AI team to design and implement key API products and services for real-time customer-facing applications.
Experienced Sr. Lead Engineer, Generative AI Infrastructure role at Capital One involving building large-scale distributed training clusters, deploying ML models on GPU instances, and supporting cutting-edge AI research and development in public cloud infrastructure.
Seeking experienced AI research engineer to join team in building state-of-the-art sales assistant. Responsibilities include leveraging research, contributing new ideas, leading dataset efforts, and collaborating with team members. Must have 3 years of experience with production AI systems, strong understanding of LLMs and ML fundamentals, experience with distributed training, and proficiency in PyTorch.
Lead machine learning engineer responsible for developing deep learning vision algorithms for robotic grasping in practical automation applications. Collaborate with robotics and platform engineers to create AI-enabled robotic products.
As a Software Engineer (AI/ML) at Apple, you will work on building intelligent systems to democratize AI across a wide range of solutions. You will drive the development and deployment of state-of-the-art AI models and systems that directly impact Apple's products and services.
Join the Dojo Machine Learning team at Tesla to optimize and scale the deployment of Pytorch derived neural networks on custom silicon supercomputer systems. Collaborate with experienced developers to enhance training performance on Tesla's custom massively parallel Dojo accelerators.
As a Machine Learning Software Engineer at Lyft, you will develop production machine learning models to enhance touch points and support experiences for riders and drivers. Responsibilities include collaborating with cross-functional teams, staying updated on ML advancements, writing production-quality code, and contributing to roadmap and architecture development. Bonus qualifications include proficiency in ML software libraries, cloud services, and containerization. Benefits include medical, dental, vision insurance options, mental health benefits, paid parental leave, and more.
Develop and deploy AI to detect wildfires in mountaintop camera and satellite images. Work on developing geometric models, optimizing camera capture systems, mapping AI predictions to data sources, and implementing algorithms for production systems.
Develop novel computer vision formulations, models, and algorithms for humanoid robots. Own the full development life cycle from data preparation to model deployment. Collaborate with team members to continuously improve autonomy stack. Strong understanding of deep learning, mathematical fundamentals, and experience with major deep learning frameworks.
Lead AI Platform Engineer responsible for building modular distributed systems and integrating machine learning models to improve user experiences. Must have 8+ years of software development experience with expertise in Python, Java, C#, or C++. Passion for exploring new technologies and creative problem-solving skills are essential.
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