Senior Software Engineer - AI/ML for Trust & Safety

Airbnb India Private Limited; Bengaluru; On-site; INR 4,500,000 - 6,500,000; Full time

Job summary

Airbnb India Private Limited seeks a Senior Software Engineer (AI/ML) for the Trust domain in India. You will work on building scalable ML systems, collaborate with data scientists, software engineers, and product managers, and drive reliable AI/ML solutions to protect the community.

You should have 7+ years in backend/platform engineering with ML experience, strong Python/Java, and familiarity with ML tooling and data engineering.

Qualifications

• 7+ years of backend/platform engineering experience, BE/B.Tech in CS or equivalent.
• Strong coding in Python and/or Java with solid data engineering foundations.
• Experience with ML concepts, model training/serving, and ML infrastructure.
• Familiarity with NLP, CV, personalization or anomaly detection is a plus.
• Proficiency with Kubernetes, Spark, Airflow or Kubeflow, streaming/data warehouses.

Responsibilities

• Work with large scale structured and unstructured data and ML systems.
• Build, productionize and optimize AI/ML models and pipelines at scale.
• Collaborate with cross-functional teams to define requirements and measure impact.
• Develop observability for AI systems with metrics, logs, traces and dashboards.

Skills

Backend engineering

Python

Java

DSA

ML fundamentals

NLP/Computer vision

Experimentation & evaluation

Education

BE/B.Tech in CS

Tools

Kubernetes

Spark

Airflow/Kubeflow

Kafka

Hive

TensorFlow

PyTorch

Job description

Senior Software Engineer (AI/ML), Trust - India

Senior Software Engineer(AI/ML), Trust 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

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.

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.

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. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [e-mail].

Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.

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 Experience Level Senior Level