Confidential (Registered Users Only) was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million 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 make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
The Relevance and Personalization team at Confidential (Registered Users Only) is responsible for search and recommendation across the entire Confidential (Registered Users Only) digital platform. In this role you'll focus on query intelligence, the front door of search working on critical, impactful projects that turn what a guest types, taps, or says into a precise understanding of their intent, spanning autocomplete and smart compose, query tagging, query expansion, and intent modeling across Stays, Experiences, and Services.
The Difference You Will Make:
Query understanding is where every search begins, and it directly shapes retrieval, ranking, and ultimately the perfect match between guests and hosts. 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 (structured, sequential, image, text, etc) and increasingly large language models at Confidential (Registered Users Only). You'll build the models that parse free-form and natural-language multimodal queries, extract entities and location context, classify intent, and anticipate what guests want before they finish typing. We collaborate closely with teams across Confidential (Registered Users Only) to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Confidential (Registered Users Only)'s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: https://sites.google.com/view/Confidential (Registered Users Only)-relevance-publications/home
A Typical Day:
- Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Confidential (Registered Users Only) product, business and operational use cases, with a focus on query understanding.
- Develop query understanding capabilities — autocomplete and smart compose, query tagging (sequence tagging / NER), query expansion, and query/user intent modeling — and natural-language ("search in your own words") search experiences powered by modern NLP and LLMs.
- Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning models, drive engineering decisions, and quantify impact.
- Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
- Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
- Example projects include: smart compose and language generation for search, LLM-based sequence taggers, LLM-driven query/location expansion, intent classification, and user-intent sequence modeling.
Your Expertise:
- 5+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields.
- Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
- Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. neural networks/deep learning, optimization) and domains (eg. natural language processing, personalization, search and recommendation, marketplace optimization).
- Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive).
- Industry experience building end-to-end Machine Learning models.
- Experience applying large language models and modern NLP — e.g., sequence tagging/NER, text generation, intent classification, or embedding/representation learning.
- Familiarity with building natural-language, AI-native and agentic search experiences is a plus.
- Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Confidential (Registered Users Only) office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Confidential (Registered Users Only), Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Confidential (Registered Users Only) entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Confidential (Registered Users Only) is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide 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@Confidential (Registered Users Only).com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
Equal Employment Opportunity:
Confidential (Registered Users Only) values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Confidential (Registered Users Only) are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.
How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range $200,000—$235,000 USDReasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Confidential (Registered Users Only) recruiters to get money or personal information from candidates. A few things that will always be true for Confidential (Registered Users Only)’s hiring process: our open roles are posted on Confidential (Registered Users Only)’s Career’s Page at careers.Confidential (Registered Users Only).com, and our recruiters correspond only from @Confidential (Registered Users Only).com or @ext.Confidential (Registered Users Only).com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Confidential (Registered Users Only).
Offices: United States