Provide leadership to the Home product area managing engineering managers. You will be instrumental in growing the Home product area and accountable for performance and results of multiple related units/teams. Grow the technical expertise of your team around quality, scalability and performance.
Cedar is making major investments in its Operator Portal, the primary interface used by health-system employees to process payments and provide assistance to patients. The Staff Workflows team oversees development of the Operator Portal, and we are currently seeking a Software Engineer III to help us build an innovative user experience that will enable healthcare workers to serve patients more efficiently and effectively.
This role involves leading the design, development, and deployment of AI solutions to enhance customer experience, requiring a strong background in artificial intelligence and software engineering to improve customer interactions and satisfaction, with a focus on leveraging AI to better serve customers.
Lead our Reddit Conversion Lift (RCL) product, driving major improvements in Casal Inference/ML methodology, reliability and scalability. Identify opportunities to enhance ad measurement capabilities by diving deep into our platform and understanding the needs of our advertisers. Design, implement, and maintain high-reliability experimentation systems.
This is a full-time, 4 or 8 month position, starting September 2025. As a Co-op/Intern on the ML team you will be treated like a full-time developer and get to work on everything from tech selection to production code on our latest projects. You will be working with a mentor from whom you can learn and who will provide support and guidance.
Optimize machine learning models for iOS deployment using expertise in C++, Python, hardware-aware programming, and Apple’s MLX and Metal frameworks to accelerate performance on mobile devices. Build efficient, on-device AI solutions.
We're looking for a Senior Full-Stack Engineer with 7+ years of experience who combines strong backend engineering skills, a working knowledge of Machine Learning, and familiarity with frontend development. You'll help build intelligent, user-focused applications by integrating open-source ML models into modern, scalable systems.
Improve existing Machine Learning systems using your expertise. Identify new opportunities to apply Machine Learning to different parts of the Quora product. Work with other engineers to implement algorithms and systems in an efficient way; Take end-to-end ownership of Machine Learning systems -- from data pipelines and training, to realtime prediction engine.