Get the job you really want.
Top Remote Machine Learning Jobs in San Francisco Bay Area, CA
As a Machine Learning Engineer II at Affirm, you will develop and implement fraud detection models using machine learning techniques. Your role involves leveraging proprietary and third-party data, building ML infrastructure, scaling data pipelines, and collaborating with various teams to improve fraud risk management. You will impact Affirm’s financial performance by ensuring secure and trustworthy transactions for users.
The role involves developing and implementing machine learning solutions for churn risk assessment, product recommendations, and customer engagement. The candidate will lead cross-functional projects, advocate for best practices, and collaborate with stakeholders for ML strategy execution.
As a Senior Machine Learning Engineer, you will collaborate with product and marketing teams to enhance customer experiences through personalized machine learning models. You will oversee various personalization ML projects, utilizing advanced algorithms on large datasets to drive engagement and revenue for Cash App.
Featured Jobs
_1.jpeg)
The Staff Machine Learning Engineer will integrate ML solutions to assess customer cash flow risk, support multiple products, and enhance automated decision-making using AI/ML within Cash App's Underwriting and Credit team. The role involves experimenting with modeling techniques on customer data and collaborating with cross-functional teams to drive growth.
_1.jpeg)
As a Senior Machine Learning Engineer, you'll develop and implement advanced machine learning algorithms, train models, collaborate with product and engineering teams, and guide junior engineers, ensuring AI integration across Atlassian products with a focus on practical applications and efficiency.
As a Senior Machine Learning Engineer at Samsara, you will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. You will collaborate with engineering teams and cross-functional partners to deliver core infrastructure and optimize services across the ML pipeline.
In this role, you will develop an AI/ML strategy to enhance customer support at Canva, lead the creation of natural language systems, collaborate with engineering teams, and leverage machine learning capabilities across the organization.
.png)
The Senior Machine Learning Engineer at Iterable will lead data projects to launch new ML products, enhance predictive features, and collaborate with teams to integrate AI technologies. Responsibilities include maintaining ML pipelines, mentoring junior engineers, and exploring innovative AI advancements.
As a Manager II for Machine Learning in Search Relevance, you will manage a team of engineers to enhance the search quality for Pinterest's 500 million users. Responsibilities include driving strategic vision, mentoring team members, collaborating with various stakeholders, and overseeing the development of ML-driven product experiences.
As a Senior Machine Learning Engineer at Reddit, you'll lead projects from ideation to production, focusing on personalized user experiences. Responsibilities include applying ML techniques, deploying models, collaborating with other teams, and working with large-scale data to improve user retention and growth metrics.
.jpg)
.png)
.png)
All Filters
No Results
No Results
