Machine Learning Engineer
Build and deploy cutting-edge Agentic AI and LLM systems to transform Airbnb's customer service experience. Requires PhD or equivalent experience and production ML/AI deployment expertise.
Responsibilities
- Champion the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
- Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
- Learn and share the latest AI/ML technologies with the team
Requirements
- PhD w/ 3+ YOE in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field — or equivalent industry experience
- Hands-on expertise in LLM, including pretraining, fine-tuning (SFT, RLHF, GRPO), prompt engineering, RAG architectures, and LLM evaluation frameworks
- Experience building Agentic AI systems — including multi-agent orchestration, tool-use, planning, memory, and autonomous reasoning pipelines (e.g., ReAct, LangGraph, AutoGen, or similar)
- Experience of shipping production-grade ML/AI systems at scale, with deep understanding of ML infrastructure, model serving, and MLOps best practices
- Excellent communication skills with the ability to collaborate effectively across Engineering, Product, and Design organizations
Nice-to-Haves
- Experience with SFT, Reinforcement learning, Distillation, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail
Compensation & Benefits
- Base pay range: $170,000—$180,000 USD
- This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits
Machine Learning Engineer - Simulation Framework
Machine Learning Engineer focused on GPU-based simulation frameworks, reinforcement learning, and bridging sim-to-real gaps for autonomous vehicle safety validation. Requires MS/PhD and strong C++/Python experience.
Senior AI Engineer
Build full-stack AI systems including agentic workflows, RAG pipelines, and production infrastructure for mental healthcare applications. Requires 2+ years software engineering experience and 1+ year with LLMs or agentic AI.
Staff AI Engineer
Staff AI Engineer building and shipping LLM/agent-powered observability features for incident detection, triage, and resolution. Requires strong production software engineering experience plus practical GenAI/LLM application skills.
Staff Software Engineer, Trends Machine Learning Infrastructure
Lead technical direction for Pinterest's unified AI-powered Trends and Audience Insights platform. Architect scalable ML data pipelines and LLM capabilities while mentoring engineers and driving cross-team integrations.
Member of Technical Staff, Model Training
Own the training pipeline for search and agent models, building from product usage data through fine-tuning and evaluation to production deployment. Requires deep expertise in transformer fine-tuning, data curation, and training models for ranking, retrieval, and agent behavior.