Top Machine Learning Engineer Jobs in San Francisco, CA
Hiring Senior Machine Learning Engineers to join the ML Platform team. Responsible for building a scalable Machine Learning platform.
The Machine Learning Engineer will be part of Cash App's Risk ML team, working on identity verification and fraud detection using machine learning methods and systems. Responsibilities include reducing inauthentic identities, mitigating risk/fraud for the Cash Card product, and collaborating with cross-functional teams.
The Staff Machine Learning Engineer at Cash App's Financial Crimes Technology team will work on leveraging Generative AI and Machine Learning to detect and report illegal and suspicious activity on Cash App. Responsibilities include deploying AI copilot solutions, building classification models, and working with diverse data sets to improve agent productivity and eliminate manual decision loops.
Lead Machine Learning Engineer role at Grammarly, responsible for building scalable ML solutions for marketing problems, driving business impact, and collaborating with cross-functional teams.
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As a Senior Principle Machine Learning Engineer at Atlassian, you will integrate cutting-edge AI capabilities into Atlassian products, extract knowledge and insights from data, and transform the way teams collaborate. You will craft and implement machine learning models, analyze large datasets, design robust models, collaborate with cross-functional teams, and drive AI adoption. Compensation for this role ranges from $198,400 to $318,600 per year.
As a Senior Staff Machine Learning Engineer at Liftoff, you will own and develop ML models with direct business impact, mentor team members, stay updated on latest ML research, and influence team roadmaps. Requires 10+ years of ML experience, deep neural network expertise, strong coding skills, and a degree in Machine Learning, Math, Physics or similar.
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.
Grammarly is looking for a Machine Learning Engineer to join their Marketing Technology team. The engineer will shape marketing strategies, enhance customer experiences, and optimize marketing campaigns by leveraging data and advanced algorithms. They will directly impact the top-line KPIs for the Growth team and work collaboratively with various teams within the organization.
Featured Jobs
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.
Snap Inc is a technology company seeking a Machine Learning Engineer to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, code reviews, and building scalable products. Strong understanding of machine learning algorithms and frameworks like TensorFlow and PyTorch required.
Staff Machine Learning Engineer at Snap Inc. Develop models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, ensure code quality, and build scalable products. Requires 8+ years of machine learning experience.
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.
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 scalable products. Strong collaboration, mentorship, and problem-solving skills are required. Minimum qualifications include a Bachelor's degree in a technical field and 3+ years of machine learning experience in the industry.
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.
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
Join Liftoff as a Staff Machine Learning Engineer on the Bidding Policy team to build state-of-the-art ML models for accurate bidding decisions in millions of auctions per second. Work with a team of experienced ML and Software Engineers, take end-to-end ownership of system design and implementation, and stay updated on the latest ML research for practical ideas.
As an Applied Machine Learning engineer at Atlassian, you will work on developing and implementing cutting-edge machine learning algorithms, training models, and collaborating with various teams to integrate AI functionalities into Atlassian products. Responsibilities also include designing system architectures, conducting experiments, and applying AI/ML to enhance product features.
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.
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.
Design, build, and enhance batch inference services and tools using Generative AI and Machine Learning to detect and prevent illegal and suspicious activity on a financial platform. Lead infrastructure development, collaborate with cross-functional teams, and drive strategic roadmaps.
As a Machine Learning Engineer for the Creative ML team at Liftoff, you will own and develop ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requirements include 8+ years of ML experience, deep neural network experience, strong engineering skills, and a degree in Machine Learning, Math, Physics, or similar field. Experience with Adtech is a plus.
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.
Looking for a Principal Machine Learning Engineer to shape the ML agenda for new initiatives at Dropbox, develop high-impact ML solutions, and work on a variety of ML techniques across different platforms. Responsibilities include collaborating with ML experts, building products, and shaping the direction of ML at Dropbox.
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.
Develop and train machine learning algorithms to identify and prioritize high-value inventories for Real-Time Bidding buyers. Enhance machine learning infrastructure for scalability and efficiency. Design experiments to test optimization strategies and analyze results. Collaborate with engineering teams on data pipeline.
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