Snap Inc.
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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.
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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.
What People Are Saying About Snap Inc.
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High Talent Density: Colleagues are often seen as smart, kind, and technically strong at the Santa Monica hub, with many teams and leaders co-located to speed problem-solving and mentorship. Feedback suggests this proximity supports quick iteration and cross-team learning for ML.
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Autonomy: Roles are commonly described as end-to-end, with ML engineers owning data, features, training, deployment, and ongoing optimization for product systems. Santa Monica teams are also portrayed as relatively horizontal, with feature ownership and room to propose ideas.
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Innovation & Products: Work centers on applied ML for ranking, recommendations, ads, search, computer vision/AR, and GenAI at Snapchat scale. Models are expected to meet low-latency, production constraints and ship into highly visible consumer experiences.
What People Are Saying About Snap Inc.
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High Talent Density: Colleagues in Santa Monica are often characterized as smart, kind, and technically strong, with many leaders and partner teams co-located at HQ. This concentration supports quick problem-solving, mentorship, and faster iteration across ML, product, and AR.
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Autonomy: ML roles in Santa Monica are described as owning the full lifecycle—from data and features through training, deployment, and ongoing optimization. A relatively horizontal structure and feature ownership at HQ give engineers meaningful decision latitude.
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Innovation & Products: The Santa Monica headquarters is framed as the epicenter of Snap’s product and AI innovation, especially in AR and generative ML. Engineers there build visible, consumer-facing features at Snapchat scale, balancing real-time creativity with production reliability.
Recently posted jobs
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Own go-to-market strategy for Snap’s brand video solutions, developing positioning, sales enablement, advertiser insights, competitive intelligence, and performance narratives. Partner with Product, Sales, Marketing Science, and leadership to launch formats, improve advertiser experiences, define KPIs, drive adoption and revenue, and scale global marketing programs. The role requires expertise in brand advertising, digital monetization, social and CTV video, executive communication, and AI-enabled workflow automation.
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Develop, test, deploy, and support secure full-stack applications for Finance, Manufacturing, Supply Chain, and Operations. Build user interfaces, APIs, business logic, integrations, data models, and automated tests. Maintain integrations across ERP, MRP, MES, PLM, warehouse, procurement, finance, and analytics platforms. Collaborate with engineers and business stakeholders, monitor application health, investigate issues, and contribute to design, code reviews, CI/CD, documentation, reliability, and production support.
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Build and operate secure, scalable full-stack applications supporting Finance, Manufacturing, Supply Chain, and Operations. Responsibilities include developing user interfaces, APIs, data models, integrations, automated tests, observability, and production support. The role partners with business and technical stakeholders, integrates ERP and manufacturing platforms, improves reliability and performance, and contributes to engineering standards, documentation, mentoring, and incident response.
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.
