Senior Software Engineer, AI/ML, Trust

Airbnb

Senior Software Engineer(AI/ML) for Trust team at Airbnb, focusing on safety and fraud prevention. Collaborating on intuitive and scalable AI/ML solutions in a dynamic environment.

Posted 5/28/2026full-timeRemote • 🇮🇳 IndiaSenior💰 ₹4,500,000 - ₹6,500,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowJavaKafkaKubernetesPythonPyTorchRaySparkTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Bonuses
Stock options
Employee Travel Credits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonJavadata structuresalgorithmsmachine learningfeature engineeringA/B testingobservabilityproductionizing ML modelsdata engineering

Soft Skills

collaborationmentoringleadershipproblem-solvingcommunicationprioritizationengineering decision-makingquantifying impactenthusiasmculture building