Remote Spark roles with clear eligibility.

High-touch white-glove onboarding

Own the client's recommendation system end-to-end: design, training, deployment, and monitoring

Discover and validate online signals from user interactions that serve as reliable proxies for true answer quality

Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.

Design and build the next generation big data compute platform to empower data ETL, analytics and machine learning at Airbnb

Spearhead LLM agents, realtime anomaly detectors, and other breakthrough solutions that solve real-world problems and create product magic.

Define and drive the multi-year technical vision for Home and Cross-Retailer Search infrastructure, spanning retrieval, ranking, indexing, and personalization at scale.

Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.

Translate Instacart’s data strategy (e.g., monetization, federated access, real-time) into an actionable multi-year architecture roadmap; align with leadership while evolving the platform for scale, maturity, and cost efficiency.

Lead and break down complex problems while keeping the broader data vision in focus.

Build and ship full SEO and AEO features end-to-end with minimal oversight, from development through experimentation and rollout.

Develop & design innovative AI-powered systems addressing a wide range of Ads Quality challenges, such as: Optimize ads pacing/bidding, retrieval and auction processes toward a diverse set of advertiser goals

Define and drive multi-year architecture roadmaps for large-scale data ingestion and processing infrastructure, setting technical direction that balances reliability, scalability, and cost.

Ads Measurement & Data: Our cutting-edge data team is responsible for building scalable, reliable, and maintainable ETLs and its underlying architecture and platform.

Lead research and development of pCTR and conversion prediction models, with a focus on improving calibration, reducing training data biases (selection bias, position bias, optimizer’s curse)

Design end-to-end model lifecycle patterns (MLOps) to boost velocity of development for ML engineers, including data preparation, model management, experiment tracking, and more

Relevance & recommendation systems (content, search, notifications)

7+ years of professional software engineering experience, with at least 3+ years focused on ML-driven systems at scale

Refine and maintain our data infrastructure technologies to support ML and analytics workflows on data collected from hundreds of millions of users.

Work with product managers to design and implement Ads products.

Work with product managers to design and implement Ads products.

Work with product managers to design and implement Ads products.

Lead the technical strategy, architecture, and implementation of Reddit’s next-generation ML Indexing & Retrieval engine, integrating capabilities across lexical and vector indexing, low-latency retrieval