Top Machine Learning Jobs in San Francisco, CA

Join the Data Science and Machine Learning team at Chime to develop innovative AI solutions in the fintech industry. Responsible for building and deploying real-time and batch ML models to enhance customer touch points. Requires proficiency in data analysis, machine learning, and software engineering.

Join Fetch as a Senior Machine Learning Engineer to contribute to developing intelligent systems using ML/AI for various applications such as receipt understanding, fraud detection, ads ranking, recommendation algorithms, and more. Focus on developing and operationalizing ML models at scale in a fast-paced environment. Must have experience with Python, Pytorch, TensorFlow, and deploying models in production environments.

Using machine learning to change wholesale and help local retailers compete with big box stores. Responsible for optimizing search, personalization, and ads. Requires 2-3 years of industry experience in machine learning and strong programming skills.

Machine Learning Engineer at Instacart focusing on developing and deploying machine learning solutions to optimize marketplace systems. Collaborate with product managers, data scientists, and backend engineers to create impactful ML applications. Push operational efficiency through continuous refinement of algorithms and models.

As a Senior Machine Learning Systems Engineer at Sentry, you will be responsible for building core infrastructure for developing, evaluating, deploying, and iterating on machine learning models and pipelines at scale. You will play a crucial role in integrating machine learning into core products for error classification and predictive analytics.

This job is for automation purposes.

This job is for automation purposes.