Top Remote Machine Learning Engineer Jobs in San Francisco Bay Area
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 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.
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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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.
Seeking a Senior Staff Machine Learning Engineer with expertise in AI research to lead experimental projects optimizing large language models and enhancing model training strategies. The role involves publishing impactful research findings and contributing to the scientific community as a leader in AI research. Autonomous work, innovation in data curation, and continuous exploration of new methodologies are key aspects of this position.
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.
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.
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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.
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 Staff machine learning engineer in the Ads prediction team, you will serve as a visionary in researching, formulating, and executing projects. You will actively participate in the end-to-end implementation process, and collaborate with cross-functional teams to ensure successful product delivery. You will be responsible for the quality and technical approach within the team.
Work as a Machine Learning Engineer in the Ranking Foundation team at Reddit. Collaborate on projects applying Machine Learning to personalize Reddit posts and comments. Build and deploy machine learning models to enhance user experiences. Participate in the full software development cycle and collaborate with other ML teams at Reddit.
Reddit is seeking a Staff Machine Learning Engineer to work on home feed personalization and content discovery algorithms. Responsibilities include enhancing recommendation systems, designing algorithms, and mentoring junior engineers. Qualifications include 8+ years of industry experience, proficiency in Python, Golang, PyTorch, and Tensorflow, and an MS or PhD in Computer Science.
The Principal Machine Learning Engineer - Motion Planning will lead the development of advanced motion planning systems using machine learning and optimization-based methods. They will design and implement algorithms for autonomous driving and deep learning, collaborate with other teams, and provide mentorship and guidance to junior team members.
Seeking a Senior Staff Research Developer with expertise in AI research to lead experimental projects optimizing large language models, innovating on data curation strategies, publishing impactful findings, and continuously refining AI models.
As a staff machine learning engineer in the ads targeting quality team at Reddit, you will lead the design and implementation of ML systems for improving targeting products. Responsibilities include end-to-end design of ML-based targeting products, driving research direction, mentoring junior MLEs, and collaborating with cross-functional teams. Required qualifications include tech lead experience in a product ML team, expertise in ads retrieval modeling and deep learning models, and experience with large-scale data processing tools.
Lead Machine Learning Engineer role at GoodRx, responsible for developing and implementing analytical capabilities, building machine learning models, and overseeing technology projects. Requires 7+ years of experience and a Master's degree in a related field.
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.
Seeking a Senior Machine Learning Engineer to contribute to shaping the future of ML/AI at TaskRabbit. Responsible for building scalable ML infrastructure, pipelines, monitoring services, and collaborating with engineering teams. Requires 3+ years of experience and expertise in Python.
Design and develop machine learning models for modeled conversions and identity matching. Collaborate with cross-functional teams to enhance ad measurement capabilities. Stay updated on algorithmic techniques and implement high-performance distributed systems.
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 Machine Learning Engineer responsible for designing and developing machine learning models for ads measurement, enhancing ad measurement capabilities, collaborating with cross-functional teams, and maintaining distributed systems.
Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead cross-functional projects, maintain code quality, collaborate with teams, and contribute to the growth of development capabilities through mentoring.
The Senior Machine Learning Engineer will be responsible for developing cutting-edge ML models and algorithms for Square's measurement system, working with stakeholders to refine growth strategy, and staying up-to-date with the latest advancements in machine learning.
Join Square's Measurement Machine Learning team as a senior Machine Learning Engineer to develop cutting-edge ML models and algorithms for strategic decision-making. Work on data-driven attribution solutions and collaborate with various stakeholders to refine growth strategies.
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