Machine Learning Engineer

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations:

London, United Kingdomtime type:

Full timeposted on:

Posted Todayjob requisition id:

R0043783is 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 , a visual messaging app that enhances your relationships with friends, family, and the world; , an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.We're looking for a Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!What you’ll do:* Develop ML-products and AI Lenses that serve millions of Snapchatters 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 with diffusion/flow matching models and GANs* Work on state of the art GenAI pipelines for image and video generation* Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback* Actively monitor the market and research landscape for new developments in Gen AI, evaluate open-source models and third-party AI APIs/services to inform build-vs-buy decisions to leverage the best available tools (or iterate on them) to keep Snap’s products at the cutting edge* Evaluate open-source Gen AI models and APIsKnowledge, Skills & Abilities:* A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly* Knowledge of mathematics and deep learning foundations* Excellent verbal and written communication skills, with meticulous attention to detail* Ability to work independently* Ability leading and executing large, complex technical initiativesMinimum Qualifications:* Strong background in Machine Learning* Experience supporting applied machine learning teams that work closely with Product* Strong programming skills in Python or C++* Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning* Track record of delivery ML-based backend products at scale in rapidly changing, highly collaborative, multi-stakeholder environments* Track of record of collaboration with Product, Design and Data science functions to build consumer-facing ML-based products* History of involvement in product roadmappingPreferred Qualifications:* Knowledge of computer graphics foundations* Experience with visual Gen AI models for Image and Video generation and Editing* Experience with evaluating the visual quality of Image and Video models* Track record of successful projects in GenAI field* Proven track of closely collaborating with Product, Design and Software Engineering teams for launching consumer-facing Gen AI or ML-powered products* Ability to proactively learn new concepts and apply them at workIf you have a disability or special need that requires accommodation, please don’t be shy and provide us some ."Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. 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, 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.: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
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