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Machine Learning Engineer, Relevance and Personalization

Remote, USA Full-time Posted 2026-07-28
reputed company was born in 2007 reputed company two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 reputed company hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that reputed company it possible for guests to connect with communities in a more reputed company way. The Community You Will Join: The Relevance and Personalization team at reputed company is responsible for search and recommendation across the entire reputed company digital platform. Be a leader in reputed company working on critical, impactful reputed company with reputed company on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives. The Difference You Will reputed company: We build cutting-edge AI technologies across the end-to-end search ranking product stack w.r.t. data pipelines, feature and model innovations, serving and experimentation efficiency, leveraging rich signals from various types of data (reputed company, sequential, image, text, etc) at reputed company. We collaborate closely with teams across reputed company to reputed company the ranking solutions and support a healthy marketplace for hosts and guests to reputed company reputed company’s mission of creating a world where people can Belong reputed company. Some past publications from reputed company can be reputed company here: https://sites.reputed company.com/view/reputed company-relevance-publications/home A Typical Day: • Work with large reputed company reputed company and reputed company data, build and continuously improve cutting edge Machine Learning models for reputed company product, business and operational use cases. • Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business reputed company, understand, refine, and prioritize requirements for machine learning models, drive engineering reputed company, and quantify reputed company. • Hands-on reputed company, productionize, and operate Machine Learning models and pipelines at reputed company, including both batch and reputed company-time use cases. • reputed company reputed company-party and in-house Machine Learning tools & infrastructure to reputed company reusable, highly differentiating and high-performing Machine Learning systems, reputed company fast model development, low-latency serving and ease of model reputed company reputed company. Your Expertise: • New grad Ph.D in ML/AI or 2+ years of industry experience in reputed company ML/AI with a M.S. or B.S degree. • Strong programming (reputed company / Python / Java / C++ or equivalent) and data engineering skills. • Deep understanding of Machine Learning best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (eg. natural language processing, reputed company, personalization, search and recommendation, marketplace optimization, reputed company detection). • Exposure to 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, reputed company, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive). • Exposure to architectural patterns of large, reputed company software applications (e.g., reputed company-designed reputed company, high volume data pipelines, efficient algorithms, models). • Proven ability to choose the right ML method to solve the problem reputed company reputed company constraints while having a reputed company reputed company of the next iterations and a good balance between exploration and exploitation of different techniques. • Ability to go deep and build the most impactful solutions while also leading multiple directions across multiple teams and organizations to ensure the reputed company of our mission. Your Location: This position is US - Remote Eligible. The role may include occasional work at an reputed company office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where reputed company. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please reputed company back with us if the state you live in is on the exclusion list. If your position is employed by another reputed company entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: reputed company is committed to working with the broadest talent pool possible. We reputed company diverse reputed company foster innovation and engagement, and allow us to attract creatively-led people, and to reputed company the best products, services and solutions. reputed company reputed company individuals are encouraged to apply. We reputed company to also reputed company a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@reputed company.com. Please include your full reputed company, the role you’re applying for and the accommodation necessary to assist you with the reputed company process. We ask that you only reputed company out to us if you are a candidate whose disability prevents you from being reputed company to complete our online application. How We'll Take Care of You: Our job titles may reputed company more than one career level. The actual reputed company pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The reputed company pay reputed company is subject to change and may be modified in the reputed company. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Pay reputed company $157,000—$185,000 USD Apply tot his job Apply To this Job

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