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Machine Learning Engineer (Generative AI, Image & Video)

Snap Inc.

On-site🇬🇧London, United KingdomseniorPosted 17h ago

Job description

  • We’re looking for a Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap!

  • 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

  • Work on state of the art GenAI pipelines for image and video generation. Ship a consumer- facing solution within weeks

  • 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 APIs

Benefits

  • Up to 28 weeks of parental leave and return-to-work program

  • Adoption, surrogacy, infertility, and fertility preservation benefits

  • Backup child care coverage, center-based care support, & caregiver assistance

  • Dependent Daycare Flexible Spending Account

  • Services to support your path to parenthood & beyond - fertility support & family planning via Carrot, SNOO, Hinge Health

  • For Snap, employees taking care of loved ones with complex, chronic, or ongoing care needs (i.e. parent with Dementia, spouse with Cancer, child with Autism), your family can save time, money, & stress with Wellthy

  • Short-term disability, long-term disability, basic life insurance, and AD&D insurance

  • Lactation rooms (based on office location) and breastmilk shipping coverage

  • Comprehensive medical coverage, including PPO, HDHP with HSA, and HMO options

  • Dental coverage, including orthodontia benefits

  • Vision coverage, including frame and contact allowance and LASIK benefits

  • Free membership to One Medical for primary and urgent healthcare services

  • Business Travel Insurance

  • Gym perks and discounts

  • Team fitness classes and races

  • Sports leagues

  • Cooking and nutritional workshops

  • Well-being reimbursement

  • Unlimited access to virtual physical therapy with Anthem

  • 15 sessions per year of mental health for you + dependents through Lyra

  • Generous time off and leave programs. In the US, this includes the following:

  • Up to 3 weeks (120 hours) of vacation time and 1 floating holiday for non-exempt team members

  • 12 paid holidays per year

  • 15 sick and safe days per year

  • Social gatherings, team outings, and volunteering programs

  • Speaker series, classes, and subscriptions to educational programs

  • Meditation and yoga classes

  • Snap Inc. provides a 401(k) plan that allows you to save on a pre-tax, Roth, and after-tax basis for your retirement (yes, we even have the Mega backdoor option!) Snap will also match 100% up to 3% of your contribution and then 50% on your 4th and 5th%

  • Flexible Spending Accounts for healthcare, daycare and commuter

  • Health Savings Account with employer contributions

  • Rocket Lawyer memberships

  • Financial education programs

  • Snap exclusive discounts and perks

  • Compensation packages that let you share in Snap’s long-term success!- Knowledge of mathematics and deep learning foundations

  • Ability leading and executing large, complex technical initiatives

  • Ability to work independently

  • A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly

  • Excellent verbal and written communication skills, with meticulous attention to detail

  • 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 or computer vision

  • Strong background in Machine Learning

  • 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

  • Ability to proactively learn new concepts and apply them at work