高级软件工程师（人工智能/机器学习）, 信任
Senior Software Engineer (AI/ML), Trust
Airbnb 诞生于 2007 年，当时两位房东欢迎三位客人来到他们的旧金山家中，如今已发展为超过 500 万房东，他们在全球几乎所有国家接待了超过 20 亿次宾客到访。每天，房东们提供独特的住宿和体验，让宾客能够以更真实的方式与社区建立联系。
高级软件工程师（AI/ML），信任团队 - 印度
**你将加入的社区：**
Airbnb 每个人都在思考信任，但我们的团队每天都在执着地追求它。信任的核心是安全，因此我们投入大量时间和精力来确保社区的安全。信任团队负责保护我们的社区和平台免受欺诈，同时确保我们的房东、宾客、房源和体验符合我们的高标准。我们不断努力对抗在线欺诈（如资金损失、账户被入侵、消息中的垃圾信息和诈骗、虚假库存等）以及离线欺诈（盗窃、财产损坏、人身安全等）。我们还负责用户的注册和筛选，并思考诸如身份和声誉等复杂问题，以确保与 Airbnb 的每一次互动都能增强我们和社区之间的信任。信任工程负责一个复杂技术栈的技术愿景和开发，该技术栈运行在平台上的每个关键交互中。
**你将带来的改变：**
作为信任工程团队的一员，你将与才华横溢的软件工程师团队合作，帮助我们构建直观且令人愉悦的体验，强化现有产品，并推出新产品以加强我们的信任防护。你将在塑造技术愿景方面发挥重要作用，并交付灵活、高效和可扩展的解决方案，以应对不断演变的攻击手段，使 Airbnb 成为最安全和最值得信赖的社区。在线和离线风险领域仍有许多未解决的问题需要攻克，我们正在寻找有才华的工程师与我们一同解决这些挑战。
**典型的一天：**
你的贡献会以多种形式出现：
- 处理大规模的结构化和非结构化数据，构建并持续改进创新的 ML 系统、产品集成和性能优化，用于 Airbnb 产品、业务和运营用例。
- 与跨职能合作伙伴（包括软件工程师、产品经理、运营人员和数据科学家）协作，识别具有业务影响的机会，发现
查看英文原文
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.
Senior Software Engineer(AI/ML),Trust - India
**The Community You Will Join:**
Everyone at Airbnb thinks about trust, but our team obsesses over it daily. At the core of trust is safety, and thus we spend a significant amount of our time and energy keeping the community safe. The Trust team is responsible for protecting our community and platform from fraud while also ensuring our hosts, guests, homes, and experiences meet our high standards. We constantly work to fight against online fraud (such as monetary loss, compromised accounts, spam and scam in messages, fake inventory, etc.) as well as offline fraud (theft, property damage, personal safety, etc.). We also work on onboarding and screening of users, and think about complex topics like identity and reputation to ensure that every interaction with Airbnb helps build trust in us and our community. Trust Engineering is responsible for the technology vision and development of a complex stack that runs on every key interaction on the platform.
**The Difference You Will Make:**
As part of the Trust Engineering team, you will work in a team of talented software engineers to help us build intuitive & delightful experiences, strengthen our current offerings, and deliver new products to strengthen our Trust defenses. You will play a significant role in shaping the technical vision and delivering flexible, efficient and scalable solutions to stay on top of the ever evolving attack vectors and make Airbnb the most safe and trusted community. There are still many unsolved problems to tackle in both online and offline risk, and we're looking for talented engineers to solve these challenges with us.
**A Typical day:**
Your contributions take a variety of shapes:
- 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
**Your Expertise:**
- 7+ years of industry experience in backend/platform engineering (or equivalent) with BE/B.tech, preferably in CS, or equivalent qualification (experience in applied Machine Learning is a plus).
- 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), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
- 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), with automated alerting, dashboards, and SLO management.
- 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.
**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.
**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 shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.
**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 shown below is annualized, is inclusive of allowances and is subject to change and may be modified in the future. This role may also be eligible for bonus or incentives, one or more equity programs, benefits, and Employee Travel Credits.
India Annual Pay Range
₹4,500,000—₹6,500,000 INR