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Senior Software Engineer (AI/ML), Trust at Airbnb India | jobscheck.in

⏳ Last Date to Apply: Open Until Filled

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Airbnb

Senior Software Engineer (AI/ML), Trust at Airbnb India

Senior Software Engineer (AI/ML), Trust

📍 Location: Bangalore, India
💼 Type: Full-time
💻 Work Mode: On-site
Experience Required
7+ years
Salary / Package
Competitive + Equity + Benefits
Work Mode
On-site
Openings
Multiple

Job Overview

  • Airbnb was founded in 2007 and has grown to connect millions of hosts and guests globally.
  • The Trust team obsesses over safety, security, and protecting the community from online and offline fraud.
  • As a Senior Software Engineer (AI/ML), you will design and scale machine learning systems and product integrations.
  • Work collaboratively with cross-functional partners including software engineers, product managers, and data scientists.
  • Build and operate production-grade AI/ML pipelines handling batch and real-time processing at high volumes.
  • Shape technical vision and develop flexible architectures to mitigate evolving risk vectors on the platform.

Key Job Details

Company NameAirbnb
Job RoleSenior Software Engineer (AI/ML), Trust
Experience7+ years
Salary RangeCompetitive + Equity + Benefits
Job TypeFull-time
Work ModeOn-site
OpeningsMultiple
Job LocationBangalore, India

Key Responsibilities

  • Develop and improve novel ML systems, product integrations, and performance optimizations using structured and unstructured data.
  • Collaborate with cross-functional teams to identify business impact and prioritize requirements for AI/ML models.
  • Hands-on productionizing and operating AI/ML solutions and pipelines at scale for batch and real-time use cases.
  • Build observability frameworks for AI systems including metrics, logging, tracing, and automated alerting.
  • Mentor and grow an enthusiastic, collaborative AI/ML engineering culture within the organization.

Requirements & Qualifications

  • 7+ years of industry experience in backend/platform engineering with a BE/B.Tech degree in Computer Science or related fields.
  • Strong programming proficiency in Python, Java, or equivalent languages with robust data engineering foundations.
  • Solid understanding of ML best practices, algorithms, and domains including NLP, computer vision, and anomaly detection.
  • Familiarity with technologies such as TensorFlow, PyTorch, Kubernetes, Spark, Airflow, and Kafka.
  • Experience with architectural patterns of high-scale software applications and test-driven development.

Required Skills

  • Python / Java Programming
  • Machine Learning & Deep Learning
  • Data Structures & Algorithms (DSA)
  • TensorFlow / PyTorch
  • Kubernetes & Docker
  • Apache Spark & Kafka
  • Distributed Systems Architecture

About Airbnb

Airbnb is a global travel community offering unique places to stay and things to do, empowering millions of hosts to showcase their hospitality and connect with travelers worldwide.

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Frequently Asked Questions

Q: What is the primary focus of the Trust Engineering team at Airbnb?
A: The Trust Engineering team focuses on protecting the Airbnb community and platform from online and offline fraud, ensuring safety and high standards for hosts and guests.
Q: What qualifications are needed for the Senior Software Engineer (AI/ML) role?
A: Applicants need 7+ years of backend/platform engineering experience, a BE/B.Tech in Computer Science or equivalent, and strong programming skills in Python or Java.
Q: Where is this job located?
A: This position is located in Bangalore, India.
Q: What technologies are expected to be used in this role?
A: Experience with technologies such as TensorFlow, PyTorch, Kubernetes, Spark, Kafka, and Airflow is highly preferred.
Q: How can I apply for this job?
A: You can apply directly through the official Airbnb careers portal using the provided online application link.
Disclaimer: This job post is prepared by collecting data from the official career page of Airbnb. We are not direct recruiters or representatives. Candidates should carefully review the requirements and policies on the company’s portal before initiating an application.