Senior Machine Learning Engineer, Recommendation Systems - San Mateo, CA, United States

Suno is a music company built to amplify imagination powered by AI models Suno offers creative platform Suno Studio breakthrough generative audio workstation empowering global community create share discover music unlocking joy musical expression. · ...

Suno empowers a global community to create share discover music unlocking joy musical expression all. · ...

Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. · Analyze large-scale user behavior data · Experiment with cutting-edge ML techniques · ...

+Job summary · Suno is a music company built to amplify imagination. · ResponsibilitiesShape Suno's recommendation vision, strategy, and technical direction · Partner with leaders across product, engineering, and research to decide how recommendations evolve with our platform · + ...

Suno is a music company built to amplify imagination powered by AI model offering creative platform including Suno Studio breakthrough generative audio workstation empowering global community create discover music unlocking joy musical expression. · Shape Suno's recommendation vi ...

We are currently focused on building the next-gen Large Recommendation Models by bridging the gap between LLMs and complex behavioral signals. · ...

Our team operates at the frontier of modern recommender systems. With a proven track record of innovating and deploying novel deep learning algorithms and systems at scale. Our research explores user & item tokenizations, continued pre-training, and advanced fine-tuning technique ...

+About UsOur team operates at the frontier of modern recommender systems. · +Research and develop key technologies such as Semantic IDs, generative retrieval/ranking, large user modelsBuild prototypes to demonstrate the "art of the possible" for recommendation systems using the n ...

We are seeking Research Interns to join our Meta Recommendation Systems (MRS) Research. This newly created org brings together a world-class team of AI Research Scientists and Engineers. · ...

· Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for classification and relevan ...

We are seeking Research Interns to join our Meta Recommendation Systems (MRS) Research org. Our interns will have the opportunity to perform cutting-edge research on AI for Recsys with the potential to have an impact at Meta's scale. · We contribute to the mission of connecting u ...

xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. · We're seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. · ...

We're seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. · ...

We are seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. · This is an exciting opportunity for individuals with a engineer or scientist background to apply their skills to recommendation systems, · ranking algo ...

+We are seeking exceptional Applied engineers to join a high-priority project that approximately 600 million monthly users use. · +Designing and architecting recommendation algorithms across various product surfaces · Leverage all of xAI's infra and AI stacks to dramatically enha ...

Meta is seeking Research Interns to join our Modern Recommendation Systems (MRS) AI Innovation Center. This org brings together a world-class R&D team of researchers, developers, and engineers. · ...

AI Innovation Center. · Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for class ...

We are looking for candidates who are passionate about solving complex problems and have a strong foundation in machine learning theory and practice. We own the end-to-end ML lifecycle, from ideation and research to building, deploying, and iterating on models in production. · Bu ...

You will be joining our Applied Machine Learning team to drive the next wave of innovation for our recommendation systems. · A Bachelor's degree in Computer Science or a related technical field is required. · At least 5 years of experience in proficiency in one or more programmi ...

We are shaping the future of entertainment with Prime Video's technology teams creating best-in-class digital video experience. · ...