Jobs › Companies › Airbnb › Senior Machine Learning Engineer, Relevance

À propos de ce poste Senior Machine Learning Engineer, Relevance chez Airbnb

Airbnb · Sur site · United States

Airbnb 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 Airbnb is responsible for search and recommendation across the entire Airbnb 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 Airbnb. We collaborate closely with teams across Airbnb to develop the ranking solutions and support a healthy marketplace for hosts and guests to further Airbnb’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/airbnb-relevance-publications/home

A Typical Day: 

  • Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb 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 an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, 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 Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb 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@airbnb.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:

Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb 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 Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.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 Airbnb.

 

Prêt à postuler chez Airbnb ?
Postuler chez Airbnb

Comment se compare ce salaire pour ML Engineer

Ce poste paie $217,500/yr — dans la fourchette habituelle pour les postes ML Engineer.

$140,210 la médiane $207,150 $293,898

Fourchette typique $168,500–$250,000/yr, à partir de 887 annonces ML Engineer comparables sur JobsRadar (rémunération annualisée en USD). Voir les aperçus de salaire pour ML Engineer →

Emplois similaires

Plaud
Machine Learning Engineer, Inference & Serving (Speech LLM) - San Francisco
Plaud
⚡ Postuler tôt San Francisco, CA Hybride $195,000–$365,000
● Nouveau 👁 Vu ✓ Postulé il y a 1 h
Brain Co.
Machine Learning Engineer, Applied AI Co-Op Intern, Winter 2027
Brain Co.
⚡ Postuler tôt San Francisco Bay Area Hybride $120,000–$120,000
● Nouveau 👁 Vu ✓ Postulé il y a 1 h
Zoox
Senior/Staff Software Engineer - AI/ML Models, Agents & Tools
Zoox
⚡ Postuler tôt Foster City, CA Hybride
● Nouveau 👁 Vu ✓ Postulé il y a 2 h
xAI
Machine Learning Engineer, Recommendation Systems
xAI
⚡ Postuler tôt Palo Alto, CA Sur site $180,000–$440,000
● Nouveau 👁 Vu ✓ Postulé il y a 2 h
xAI
Machine Learning Engineer, Ads
xAI
⚡ Postuler tôt Palo Alto, CA Sur site $180,000–$440,000
● Nouveau 👁 Vu ✓ Postulé il y a 2 h
Redwood Materials
Software Engineer - ML/Computer Vision (Battery Sorting)
Redwood Materials
⚡ Postuler tôt McCarran, NV; San Francisco, C... Sur site $152,500–$200,000
● Nouveau 👁 Vu ✓ Postulé il y a 3 h
Reddit
Staff Machine Learning Engineer, Retrieval & Targeting
Reddit
⚡ Postuler tôt Remote - United States · lieu restreint $230,000–$322,000
● Nouveau 👁 Vu ✓ Postulé il y a 4 h
Reddit
Staff Machine Learning Engineer, Ads Forecasting & Scenarios
Reddit
⚡ Postuler tôt Remote - United States · lieu restreint $230,000–$322,000
● Nouveau 👁 Vu ✓ Postulé il y a 4 h
Reddit
Senior Machine Learning Engineer, Ads Forecasting & Scenarios
Reddit
⚡ Postuler tôt Remote - United States · lieu restreint $216,700–$303,400
● Nouveau 👁 Vu ✓ Postulé il y a 4 h

Inscrivez-vous pour des suggestions adaptées aux emplois que vous ouvrez et aux recherches que vous enregistrez.

Plus d’emplois chez Airbnb

Voir tous les emplois chez Airbnb →

Postuler maintenant
🤖

Doucement — un instant

JobsRadar a été conçu pour de vraies personnes qui traversent une période difficile dans leur recherche d’emploi — pas pour des requêtes automatisées. Vous cliquez beaucoup trop vite et vous êtes maintenant temporairement bloqué.

Revenez plus tard. Si vous cherchez réellement un emploi, nous sommes de votre côté — agissez simplement comme un être humain.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Prenez une longueur d’avance dans votre recherche d’emploi.

Rejoignez notre canal Telegram pour ce qui vous aide à décrocher le poste — références salariales, le pouls hebdomadaire du marché et les annonces de nouveautés. Pas de spam, que du signal.

Rejoindre le canal — c’est gratuit