Top Hybrid Machine Learning Jobs in San Francisco, CA
In this role, you will build cloud-based AI/ML solutions that enhance user experience and workflow efficiency for enterprise services. Collaborate with developers and product managers to deliver high-quality software, owning your code from design to delivery. Your expertise in AI/ML, algorithms, and object-oriented programming will drive innovations for enterprise customers.
The Principal Engineer will drive technical capabilities in Machine Learning and AI across teams, take on leadership responsibilities, mentor other engineers, and ensure high execution standards. They will also collaborate on significant hands-on development for ML/AI products, shape technical standards, and present to senior leaders.
As a Machine Learning Engineer at Snap Inc, you will create models that enhance user experience, evaluate technical trade-offs, perform code reviews for quality assurance, and build scalable products while prioritizing swift iteration.
Featured Jobs
The Applied AI ML Director will lead the development and implementation of machine learning components, collaborate with teams, and enhance workflows using advanced ML techniques. They will leverage knowledge in ML algorithms and frameworks to drive innovative projects.
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.
The Sr Manager, Machine Learning Platform will lead the Model Engineering team at Disney, focusing on building a state-of-the-art ML runtime environment. Responsibilities include mentoring the team, providing technical direction, and partnering with stakeholders for scalable ML solutions while maintaining a culture of innovation and collaboration.
As a Principal Machine Learning Engineer, you will lead R&D initiatives in autonomous vehicle technology, define team strategy, drive business impact through tech solutions, prototype and implement models, mentor engineers, and promote a culture of inclusion and innovation.
As a Principal Machine Learning Engineer, you will lead a team to develop innovative deep learning vision algorithms for robotic grasping. Responsibilities include designing machine learning models, collaborating with engineers, and ensuring effective interaction between robots and their environment.
As a ML Research Scientist at Wispr, you will collaborate with neuroscientists and ML engineers to design algorithms that decode neural signals, setting benchmarks for ML research and experimenting with various deep learning architectures to enhance human-machine interactions.
Top hybrid Companies in San Francisco, CA Hiring Data + Analytics Roles
See All
All Filters
No Results
No Results
