Top Machine Learning Engineer Jobs in San Francisco
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
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.
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.
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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.
The Senior Machine Learning Engineer at Samsara will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. This role involves collaborating with various engineering teams and partners to deliver core infrastructure and optimizations.
Machine Learning Engineer role at Cash App focusing on building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The role involves working with large datasets, experimenting with algorithms, and improving customer experiences through AI technology.
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 Senior Staff Machine Learning Engineer at Liftoff, you will own ML models that are part of a production decision-making system with direct business impact. You will 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 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.
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.
Build machine learning models for various workstreams at Cash App, including fraud detection, customer support automation, and underwriting and credit evaluation.
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.
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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