Senior Software Engineer, AI/ML, Trust

🕒 il y a 10 jours

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Airbnb

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Fondée en 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity en 2020-12

B2C • eCommerce • Hospitality

Airbnb est une place de marché en ligne mondiale qui met en relation des personnes cherchant un hébergement avec des hôtes proposant des options de logement uniques et variées, souvent dans des propriétés résidentielles. Les utilisateurs peuvent réserver des espaces allant d'appartements d'une chambre entière à des maisons complètes et des hôtels de charme. Airbnb propose également des expériences, permettant aux invités de réserver des activités organisées par des locaux, offrant ainsi une expérience de voyage authentique.

Description

• Work with large scale structured and unstructured data, build and continuously improve novel ML systems, product integrations, and performance optimizations 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 AI/ML models, drive engineering decisions, and quantify impact. • Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks. • Hands-on productionize, and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases. • Lead, mentor, challenge and grow enthusiastic, collaborative AI/ML culture within the organization

🎯 Exigences

• 7+ years of industry experience in backend/platform engineering (or equivalent) • Strong programming (Python / Java or equivalent), DSA plus solid data engineering foundations • Understanding of ML best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) • Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, orchestration (Airflow/Kubeflow), streaming/processing (Kafka/Spark/Ray), data warehouse (eg. Hive) • Experience in building observability for AI systems (metrics/logging/traces) • Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models is a plus • Must have experience working in large tech product companies solving real world problems • 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 • Experience with the Trust and Risk domain is a plus.

🏖️ Avantages

• Bonuses • Stock options • Employee Travel Credits