Top AI & Machine Learning Jobs

Lead research in user modeling and personalization, focusing on generative and language models, recommendation and retrieval systems. Build scalable prototypes, partner with engineering to deploy solutions, mentor junior researchers and interns, and publish work at top conferences.

Develop and integrate computer vision algorithms for low-powered wearable devices, build analysis and tooling for performance and code quality, collaborate with cross-functional teams in software, vision, ML, and graphics, and profile and optimize system performance.

The Staff Machine Learning Engineer will lead the development of search ranking systems, focusing on machine learning models for relevance, quality, and personalization through various advanced techniques and collaboration with cross-functional teams.

Develop and deploy consumer-facing machine learning products and augmented reality Lenses focused on image and video generation, editing, and large language models. Build generative AI pipelines using diffusion and flow-matching models, integrate models and APIs into production, conduct A/B testing, evaluate open-source and third-party solutions, and collaborate with product, engineering, content, and data science teams.

Develop generative machine learning technologies and products serving millions of users. Build state-of-the-art image, video, language, and audio generation pipelines; deploy generative ML experiences on devices; create augmented reality experiences using generative and diffusion models; and collaborate with cross-functional teams to prototype new products.

Develop machine learning products and generative pipelines for image, video, language, and audio generation. Build on-device generative ML and augmented reality experiences using diffusion models, collaborate with cross-functional teams to prototype products, and solve open-ended technical problems. The role requires strong Python or C++ development, deep learning framework expertise, and research or engineering experience in generative or efficient models.

Lead technical strategy, architecture, and implementation for ML inference platform services. Design and scale distributed, high-throughput inference systems, collaborate across teams, drive availability, scalability, operational excellence, cost management, and provide company-wide technical direction and mentorship.

Product Manager for content ranking responsible for defining strategy, roadmaps, and metrics for content recommendation and ranking. Partner with engineering, data science, legal, and policy to launch scalable, privacy- and safety-minded content experiences, measure impact, and iterate on product improvements to drive engagement.

Perform quantitative analysis, data mining, and statistical modeling to generate actionable product and business insights. Design and track core metrics, build dashboards and visuals, collaborate with cross-functional teams, use AI tools to scale analyses, and drive projects to completion to inform product decisions.

Design, build, and deploy large-scale machine learning models powering Snapchat features. Own full ML lifecycle from data analysis to production, prototype with cross-functional partners, apply modern ML techniques, and use AI tools while ensuring code correctness, security, and scalable system design.