Top Machine Learning Engineer Jobs in San Francisco
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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 ...
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.
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.
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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.
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.
Featured Jobs
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.
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.
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.
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.
Design, implement, and scale critical machine learning components and services to support Snap's most strategic initiatives. Build a next-generation training framework, perform model training optimization, develop an AutoML platform, and provide technical direction for the company.
As a Staff Machine Learning Engineer specializing in Generative AI at Handshake, you will lead a team to develop AI-driven products that democratize opportunities for millions of students. Your responsibilities include setting technical direction, leading a team of ML engineers, innovating algorithms, and collaborating with product managers to drive user experiences through ML and NLP.
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.
Participate in data science projects, collaborate with cross-functional teams, apply quantitative analysis, develop strategies, and improve products through insights and recommendations.
Develop and implement machine learning models for fraud detection, analyze large datasets, collaborate with cross-functional teams, monitor and evaluate model performance, and stay up-to-date with the latest machine learning and fraud detection techniques.
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