Senior Machine Learning Engineer, Relevance

The company 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 the company is responsible for search and recommendation across the entire the company digital platform. Be a leader in the team working on critical, impactful projects with focus on developing end-to-end ranking algorithms and ecosystems for optimizing multiple critical business objectives.

The Difference You Will Make

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) at the company. We collaborate closely with teams across the company to develop the ranking solutions and support a healthy marketplace for hosts and guests to further the company’s mission of creating a world where people can Belong Anywhere. Some past publications from the team can be found here: [link for members]

A Typical Day

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for the 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 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: feature platform, model interpretability, hyperparameter optimization, concept drift detection.

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, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection)

• 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 infrastructure and/or building and productionizing Machine Learning models

• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)

• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.

Your Location

This position is US - Remote Eligible. The role may include occasional work at the 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 the company, 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 the company entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging

The company 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: [link for members] . 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

The company values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at the company 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 USD

Reasonable 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 the company recruiters to get money or personal information from candidates. A few things that will always be true for the company’s hiring process: our open roles are posted on the company’s Career’s Page at the company, and our recruiters correspond only from @ the company or @ the company 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 the company.