Top Hybrid Machine Learning Jobs in San Francisco, CA
The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.
The Senior Machine Learning Engineer at Cash App will design and enhance ML inference services, support ML model development, and collaborate with cross-functional teams to drive strategic initiatives in financial crime detection.
.png)
The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.
Featured Jobs
As a Senior Technical Sourcer for Machine Learning at Snap, you will be responsible for sourcing, screening, and engaging candidates for machine learning roles. You will work with recruiters and hiring managers to understand hiring needs, develop sourcing strategies, and enhance the candidate experience, all while managing data and hiring metrics.
Lead the Model Engineering team to develop state-of-the-art ML runtime environments, ensuring high availability and low latency for ML model deployment. Collaborate with product stakeholders to create innovative scalable platform solutions while mentoring team members and fostering a culture of inclusion and collaboration.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
_0.png)
.png)
All Filters
No Results
No Results
