Principal ML/AI Engineer

Analyze threat actor behavior and abuse patterns for detection.

Implement state-of-the-art LLM-driven techniques for abuse prevention.

Developing and maintaining AI model serving infrastructure

Implementing high availability applications on Kubernetes

Design, build, and maintain scalable distributed backend systems

Own backend services end-to-end

Analyze customer datasets for insights

Explain model performance and risk policies

Own critical infrastructure supporting engineering teams

Design, deploy, and operate Kubernetes platforms

Develop and deploy AI models efficiently

Prioritize tasks based on urgency and impact

Analyze threat actor behavior and abuse patterns.

Implement abuse detection techniques.

Act as technical advisor to enterprise customers

Design and implement modern data architectures

Design, build, and maintain scalable distributed backend systems

Own backend services end-to-end

Drive backend engineering

Lead design and implementation of new features

Evolve and maintain foundational Enterprise systems

Collaborate with cross-functional teams

Lead data science and ML initiatives

Build and lead a team for predictive modeling and experimentation

Build a cloud-native network stack for Airbnb services

Collaborate with open-source communities like CNCF and Istio

Design, implement, and maintain cloud infrastructure using IaC

Improve reliability, security, and scalability of the platform

Lead design and delivery of Java projects

Analyze and optimize engine performance

Design and optimize APIs and data pipelines for real-time analytics at scale.

Build and enhance distributed systems for large-scale indexing, search, and data processing.

Hiring a remote Partner Sales Manager for AWS.

Full-time position in North America.

Provide senior technical advisory for enterprise customers

Design and implement modern data architectures

Revolutionizing AI model serving with voice cloning and text-to-speech

Developing low latency and cost-effective text-to-speech solutions

Analyze threat actor behavior and abuse tactics

Design and develop production-ready systems

Design, build, and maintain scalable distributed backend systems

Shape product decisions and contribute to technical discussions

Senior Fullstack Engineer-Enterprise role for building multi-tenant management features and developing frontend with React and TypeScript.

Create admin consoles, backend APIs, and permission management interfaces for enterprise functionality.

Monitor and improve reliability of production AI systems

Identify, diagnose, and fix issues across apps, integrations, and cloud

Build and manage AI tooling stack and system infra for Field Engineering

Set standards for AI-driven development and scale capabilities

Act as a senior technical advisor to enterprise customers

Design and implement modern data architectures

Design scalable distributed backend systems

Collaborate with product and engineering peers

Develop and implement voice cloning and text to speech solutions.

Prioritize tasks for efficient implementations.

Analyze threat actor behavior & evolving abuse patterns

Implement advanced techniques for abuse detection & prevention

Design, build, and maintain APIs, services, and core systems

Develop core product surfaces: cost intelligence, analytics, auth

Provide senior escalation point for high-priority incidents

Lead investigations and monitoring strategies

Oversee IT services, incident response, and technical escalations

Identify and solve recurring issues

Lead migration of media workloads to AWS

Design scalable, secure, cost-effective infrastructure

Drive the development of cloud tracking solutions

Translate user needs into clear product requirements

Analyze threat actor behavior and evolving abuse patterns.

Develop and implement state-of-the-art techniques for abuse detection.

Design, build, and maintain scalable distributed backend systems

Work closely with product and engineering teams to shape product decisions

Develop and deploy AI models for voice cloning

Implement cost-effective text-to-speech systems

Guide enterprise customers in implementing modern data architectures

Develop custom solutions powered by Starburst

Design, build, and maintain ML backend services

Integrate ML models via APIs for production reliability

Build robust and user-friendly platforms for infra provisioning

Write performant and maintainable code in Go

Lead vulnerability management across infra, network, and cloud

Implement security best practices; ensure compliance and policy adherence

Design, build, and maintain Core platform services.

Collaborate via pairing, code reviews, on-call, releases.

Design, develop, and maintain scalable software systems

Provide technical leadership within the team

Plan and execute red team operations

Perform threat modeling for new and existing services

Act as senior technical advisor to strategic enterprise customers

Build and implement modern data architectures

Design, build, and maintain scalable distributed backend systems.

Collaborate with product and engineering teams to shape product decisions.

Develop efficient backend solutions for AI model serving

Utilize cloud services such as GCP, AWS, and Azure

Analyze threat actor behavior and abuse patterns

Research and implement abuse detection techniques

Architect secure AWS configurations

Embed security into CI/CD pipelines

Architect and train teacher-student models for multimodal data

Develop RL-based data discovery and reasoning workflows

Drive end-to-end delivery of large-scale technical initiatives.

Translate business goals into detailed technical requirements.