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Perplexity is building the next generation answer engine, empowering our users to find information in new and more effective ways. Perplexity applies LLMs for knowledge search at scale, serving millions of users across the world. In pursuit of this mission, we are looking for engineers to build recommendation systems for a more engaging, easier to use product. You will be part of a dynamic team dedicated to pushing the boundaries of what's possible with machine learning, particularly in the realms of content discovery and personalization. Our current backend stack is Python, Rust, TensorRT-LLM, Kubernetes, AWS. You will work on building data pipelines and training machine learning models that drive our recommendation systems and retrieval algorithms. Responsibilities Develop, train, and optimize machine learning models for recommendation systems. Build groundwork infrastructure for retrieval. Work with real world data to create scalable feedback loops. Incorporate state of the art LLMs into traditional machine learning systems. Qualifications Experience with machine learning at scale. Experience with retrieval infrastructure. Creative problem-solving skills with an ability to explore a new landscape of models. Eagerness to build from 0 to 1 and unlock potential in new products. Familiarity with big data pipelines for feature engineering. At least 6 years of experience with machine learning and backend engineering. The cash compensation for this role is $200,000 to $280,000. Equity: In addition to the base salary, equity is part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan. Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Website LinkedIn Profile Will you now or in the future require visa sponsorship for employment? * Are you open to a hybrid work schedule (In office M-W-F) * Are you located in the San Francisco Bay or New York Metro Area? * Do you have a proven track record of working on large-scale machine learning systems? * Could you provide an example of a machine learning project that you have worked on? * Please provide a short description of the project and your responsibilities there. Have you worked on the machine learning projects for more than 4 years? * Please make sure your resume reflects this. #J-18808-Ljbffr
