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Machine Learning Engineer
Snap Inc.
- London, England, United Kingdom
- London, England, United Kingdom
À propos
Graduate Machine Learning Engineer - Gen AI
role at
Snap Inc.
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatter around the world, every day. We’re deeply committed to the well‑being of everyone in our global community, and our values are at the root of everything we do: we move fast, with precision, and always execute with privacy at the forefront.
What you’ll do
Develop ML products and AI Lenses that serve millions of Snapchatter on a daily basis, with a primary focus on image and video generation and editing, as well as LLMs
Build cutting‑edge augmented reality experiences using generative and diffusion models
Work on state‑of‑the‑art GenAI pipelines for image and video generation
Integrate ML models and AI APIs into production, and refine them through A/B testing and user feedback
Evaluate open‑source models and third‑party AI APIs/services to inform build‑vs‑buy decisions and keep Snap’s products at the cutting edge
Knowledge, Skills & Abilities
A proven passion for machine learning; staying up‑to‑date with research and prototyping new ideas quickly
Knowledge of mathematics and deep learning foundations
Strong verbal and written communication skills, with meticulous attention to detail
Desire to solve open ambiguous problems
Desire to grow professionally, learn and help others
Ability to effectively collaborate with internal teams and external partners
Ability to work independently
Minimum Qualifications
Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
Research or engineering experience in neural rendering, generative models, segmentation, object detection, classification, tracking or related applications of machine learning
Experience with PyTorch or TensorFlow
Strong track record of software development in Python or C++
Preferred Qualifications
Master’s degree or PhD in a related technical field
Experience developing real‑time software for mobile applications
Knowledge of computer graphics foundations
Examples of open‑source projects, blog posts, Kaggle contests, top conference or journal publications, etc.
Experience with visual GenAI models for image and video generation and editing
Experience evaluating the visual quality of image and video models
Equal Opportunity Employer Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
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Compétences linguistiques
- English
Avis aux utilisateurs
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