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Machine Learning in Santa Monica

At Snap, Machine Learning Engineers are innovators, transforming massive amounts of data into intelligent, personalized experiences for over 850 million users. From revolutionizing content and ad platforms to enhancing search, our team leverages state of the art machine learning models to drive snapchat’s mission forward: to empower people to express themselves, live in the moment, learn and enjoy the world together. By pioneering technology that understands and anticipates user needs, Snap’s ML team fuels moments of discovery, connection, and joy - impacting lives and advancing human progress every day.

Our Products

Spectacles
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Spectacles are a wearable computer built into a pair of see-through glasses. Join us in building the next generation of computing that empowers you to look up and get things done, hands free.
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What People Are Saying About Snap Inc.

  • Innovation & Products: Teams in Santa Monica ship applied models across ads ranking, content relevance, search, safety, personalization, and AR, with Bento unifying experiment tracking and production rollout. Proximity to product/design and performance‑sensitive GPU/infra enables quick experiments and large‑scale deployments.
  • Autonomy: Roles emphasize full‑lifecycle ownership—data pipelines, feature engineering, modeling, A/Bs, deployment, and post‑deploy optimization. Lean, high‑leverage teams at HQ increase day‑to‑day responsibility and decision latitude.
  • Values & Integrity: Culture materials repeatedly center “Kind, Smart, Creative” with low‑ego collaboration, candid reviews, and cross‑functional rituals. Being at HQ provides in‑person access to partners and leadership that reinforces these values in ML reviews and iterations.

Recently posted jobs

19 Hours AgoSaved
Hybrid
3 Locations
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design, build, and operate large-scale backend services (identity, friend graph, persistence). Collaborate cross-team to evaluate trade-offs, ensure availability, scalability, and operational excellence, debug and resolve incidents, and use AI tools to accelerate development while maintaining security and code quality.
19 Hours AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Design and implement generative ML systems (image, video, audio, multimodal LLMs) and deliver on-device and server-side inference. Build GenAI pipelines and AR experiences, prototype with cross-functional teams, and optimize efficient models for real-time mobile and wearable applications.
19 Hours AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Lead global music partnership operations including rights landscape, content ingestion (DDEX), metadata and publishing clearance, compliance reporting, third‑party vendor management, CMS architecture, automation of workflows, resolving complex partner issues, and cross-functional coordination with Product, Engineering, Finance, and Legal to support music-based features.

At a glance

how we use ai

My AI is a chatbot built on generative AI technology designed with safety in mind. You can chat with My AI directly or @ mention My AI in conversations. We’re announcing an expanded strategic partnership with Google Cloud to power generative AI experiences within My AI, our AI-powered chatbot and one of the largest consumer chatbots available today. We will leverage the strong multimodal capabilities of Gemini on Vertex AI, particularly the technology’s ability to understand and operate across different types of information like text, audio, image, video, and code, to offer more engaging and innovative features for our Snapchat community through My AI.