Set the technical direction for Quora's home feed recommendation systems and lead high-impact projects across the recommender stack.
Drive measurable improvements in user engagement and content quality through well-designed online experiments and end-to-end ML system ownership.
Partner with product, data science, and infrastructure teams, while mentoring engineers and raising the bar for modeling rigor and AI-assisted development.
Quora is a privately held company on a mission to grow the world's collective intelligence, operating a global knowledge sharing platform and Poe, a workspace for running multiple AI agents. It has a remote-first culture rooted in transparency, idea-sharing, and experimentation, with passionate, collaborative global teams.
Design and deploy production-grade recommendation and search models for personalized content discovery.
Own retrieval and ranking pipelines, including candidate generation, embedding-based retrieval, and online serving.
Collaborate with product, data, and engineering teams to run experiments and improve engagement and retention.
Jobgether is listing this role on behalf of an innovative, AI-driven consumer platform focused on personalized content discovery and interactive entertainment. The hiring company operates with a remote-first culture and a fast-moving, collaborative environment.
Lead technical design and architecture for Medium's ML recommendation backend.
Build and scale feature store, recommender systems, and ML Ops.
Mentor engineers and drive cross-functional technical direction.
Medium is an online publishing platform that connects millions of readers with ideas and stories. The company values engineering excellence, collaboration, and a culture of mentorship and continuous improvement.
Own high-impact ranking models powering personalized feeds and digest emails.
Work across the full ML lifecycle, from data pipelines to production deployment.
Collaborate with a distributed engineering team on modern recommendation techniques.
They operate a large-scale knowledge-sharing platform. The company values autonomy, continuous learning, technical excellence, and thoughtful experimentation.
Design, build, and maintain scalable real-time ML services for ranking and personalization.
Analyze user behavior and run A/B tests to improve product discovery and engagement.
Collaborate with engineers, data specialists, and business stakeholders to drive measurable outcomes.
The company is an AI-driven e-commerce platform that uses machine learning to power smarter search, discovery, and shopping experiences. It maintains a collaborative, remote-first culture that values ownership, inclusion, and meaningful impact.
Improve existing machine learning ranking models using core coding skills and ML knowledge.
Take end-to-end ownership of machine learning systems from data pipelines to production integration.
Identify new opportunities to apply machine learning to different parts of the Quora product.
Quora is a global knowledge sharing platform and Poe, a cloud workspace for AI agents. It is a privately held, remote-first company with a culture rooted in transparency, idea-sharing, and experimentation.
Build cutting-edge deep learning and machine learning models to personalize the Pinterest experience.
Partner with cross-functional teams to improve ML models for products like Homefeed, Ads, and Search.
Use data-driven methods to enhance candidate retrieval and stay current with trends in recommendation systems.
Pinterest is a visual discovery platform where millions find inspiration to create a life they love. It is a large, publicly traded technology company with a culture of innovation, inclusion, and flexibility.
Apply if you participated in RecSys; this expresses interest in ML/AI opportunities at Spotify.
Our team will follow up to explore roles based on your background, interests, and experience.
We are an equal opportunity employer committed to inclusivity and accessibility.
Spotify is a global audio streaming service that personalizes music, podcasts, and audiobooks for hundreds of millions of listeners. As a large company, we foster inclusivity and diversity, encouraging unique perspectives to revolutionize the way the world listens.