Top Machine Learning Engineer Jobs in San Francisco
As a Machine Learning Engineer on the Marketing Technology team, you will transform the way marketing is done at Grammarly. You will improve data-driven decision-making, enhance customer experiences, and optimize marketing campaigns.
Machine Learning Engineer supporting banking and lending business, building and deploying ML models, engaging with cross-functional teams, and contributing to product-focused modeling roles.
As a Machine Learning Engineer on the Embeddings team at Liftoff, you will have end-to-end ownership of ML models, adopt or build new technologies for training and serving ML models, mentor team members, monitor latest ML research, and influence the roadmap for your team.
As an Applied Machine Learning engineer at Atlassian, you will work on the development and implementation of cutting-edge machine learning algorithms, training models, and collaborating with product, engineering, and analytics teams to integrate AI functionalities into Atlassian products. Responsibilities include designing system and model architectures, conducting model evaluations, and applying AI/ML to improve Atlassian products.
Senior / Principal Machine Learning Engineer with the Creator Services NLP team at Roblox. Responsible for building NLP, speech, and generative AI models for creators to enhance user experience. Requires 5+ years of experience in ML engineering and shipping ML products, proficiency in Python and C#, and understanding of SQL at scale.
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms, training sophisticated models, and collaborating with various teams to integrate AI functionalities into Atlassian products and services. Responsibilities include designing system and model architectures, conducting experimentation, and guiding emerging ML engineers.
As a Machine Learning Engineer on the Banking & SFS team at Block, you will support Data Scientists in building and deploying machine learning models for banking and lending products. This role involves implementing modeling approaches, utilizing data science techniques, and collaborating with cross-functional teams.
Senior Machine Learning Engineer role at Roblox focusing on leveraging Generative AI for 3D content creation. Responsibilities include developing ML models, mentoring team members, staying updated with latest research, and publishing innovations. Requires 3+ years of ML experience, expertise in Python and deep learning frameworks, and familiarity with generative AI techniques.
Featured Jobs
Snap Inc. is looking for a Machine Learning Engineer to create models that drive value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building lasting and scalable products. Strong machine learning understanding and prior experience developing machine learning models are required.
Machine Learning Engineer at Dropbox responsible for designing, coding, training, testing, deploying large-scale ML systems and shaping the direction of ML and AI at Dropbox. Requires BS or MS in Computer Science, 3+ years of ML/AI systems experience, strong analytical skills, and proficiency in Python, C/C++. Desired qualifications include a PhD in Computer Science and expertise in NLP, deep learning, and other ML areas.
The Machine Learning Engineer at ZS will be responsible for building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML engineering platforms, implementing ML Ops, writing production-ready code, collaborating with client teams, and researching and evaluating new technologies.
Staff Machine Learning Engineer role at Cruise, responsible for developing machine learning models for self-driving vehicles to navigate urban environments safely and smoothly. Involves research, development, technical leadership, and collaboration with cross-functional teams. Requires expertise in ML frameworks, machine learning, programming, and mathematical reasoning.
Snap Inc is seeking a Staff Machine Learning Engineer with 8+ years of experience to create models driving value for users and the company, evaluate technical tradeoffs, perform code reviews, build scalable products, and iterate quickly with high quality. Strong understanding of machine learning approaches, ability to work independently, collaboration skills, and problem-solving capabilities are required. Knowledge of machine learning frameworks and system design experience are preferred qualifications. Bachelor's degree in a technical field is a minimum requirement.
Design and implement cutting-edge machine learning algorithms for multimodal data to shape the future of AI-driven creation at Roblox
Machine Learning Engineer specializing in NLP to join the Responsible AI team at Grammarly. Develop and implement new ML solutions to improve safety and fairness of Grammarly products.
As a machine learning engineer, you will work on a large-scale machine-learning system that touches millions of customers. You will contribute to our core recommender systems and improve our solution as the field evolves.
Build, optimize, and deploy machine learning models for identity resolution and ads attribution. Collaborate with cross-functional teams and stay up-to-date with the latest technology. Strong understanding of machine learning approaches and algorithms.
Seeking a highly motivated Senior Staff Machine Learning Engineer to shape the future of ML/AI at TaskRabbit. Responsibilities include developing advanced ML models, collaborating with cross-functional teams, and contributing to search and discovery projects. Must have expertise in machine learning, NLP, and graph analysis.
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for urban roads related to Perception and Object Tracking. Responsibilities include exploring, prototyping, validating new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members to be more effective.
Research and build high-impact end-to-end machine learning systems for customer growth, drive the design of scalable ML solutions in production, mentor engineers and data scientists, contribute back to research community
As a Machine Learning Engineer at Liftoff, you will own ML models that have a direct business impact, adopt new technologies for training and serving ML models, mentor team members, monitor latest ML research, and influence team roadmaps. Requirements include 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar.
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.
Develop and improve machine learning models for customer support experiences, utilizing state-of-the-art algorithms and large language models. Collaborate with cross-functional teams to meet business needs and monitor model performance for continuous improvement.
As a Principal Machine Learning Engineer, you will work on the Perception and Prediction team to develop autonomous driving capabilities. You will drive R&D initiatives, design and train neural networks, prototype and deploy solutions, and mentor junior engineers. You will also have the opportunity to pioneer research and contribute to the culture of inclusion and innovation within the company.
Senior ML Engineer role at Grammarly's On-Device ML team, responsible for proposing, designing, and implementing strategic features using machine learning models in an on-device context. Collaborate with core product teams, launch and monitor ML models, and leverage academic research to advance technology.
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