Staff Machine Learning Engineer, Relevance and Personalization

Airbnb · United Statessenior

En corto

▸Ingeniero de ML de alto impacto en búsqueda y recomendaciones a escala global.
▸Día a día: construir, producir y operar modelos ML con datos estructurados y no estructurados, colaborando con múltiples equipos.
▸Destaca: liderazgo en proyectos de vanguardia como interpretabilidad, detección de cambio de concepto y optimización de hiperparámetros.

Proficiency in English required

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓9+ años de experiencia en ML aplicado
✓Título de maestría o doctorado en campo relevante
✓Habilidades sólidas en programación (Scala, Python, Java, C++)
✓Experiencia en producción de modelos ML a escala
✓Capacidad para colaborar con equipos multifuncionales
✓Conocimiento en pipelines de datos, feature engineering y modelización

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

ScalaPythonJavaC++Data pipelinesFeature platformModel interpretabilityHyperparameter optimizationConcept drift detectionMachine Learning tools & infra

¿A quién escribirle en Airbnb?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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: • 9+ years of industry experience in applied Machine Learning, inclusive MS or PhD in relevant fields. • Strong programming (Scala / Python / Java / C++ or equivalent) an

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.