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Snap

Machine Learning Engineer, Generative AI (Image & Video)

  • Office
  • 3-6 years

Salary

Not stated

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Description

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 operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.

Snap Engineering 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 our values 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!

Responsibilities

  • 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 well-scoped consumer-facing features within weeks, with guidance on broader architecture and launch decisions
  • 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, run focused evaluations of open-source models and third-party AI APIs/services and share findings to support the team’s build-vs-buy decisions
  • Evaluate open-source Gen AI models and APIs
  • Knowledge, 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 on well-defined technical problems and seek guidance when needed
  • Ability to contribute to large, complex technical initiatives by owning well-scoped features or components
  • Minimum Qualifications:
  • Strong foundations in Machine Learning, demonstrated through hands-on projects, research, internships, or professional work
  • 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
  • At least 3 years of machine learning experience after completing a bachelor’s degree, or a master’s degree in a relevant technical field
  • Preferred Qualifications:
  • Knowledge of computer graphics foundations
  • Experience with visual Gen AI models for Image and Video generation and Editing
  • Familiarity with evaluating the visual quality of Image and Video models
  • Hands-on experience with GenAI projects, such as working prototypes, research projects, or open-source contributions
  • Ability to proactively learn new concepts and apply them at work
  • If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information .
  • "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.
  • Our Benefits : 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!

Where you’d work

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About the company

Snap

Office in London, United Kingdom

Also hiring in Los Angeles, United States, Seattle, United States, San Francisco, United States and 13 more places

2 of their 84 open roles are remote

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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • LLMs
  • Computer vision
Type
Full-time
Specialty
ML
Region
United Kingdom
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
3+ years
Tech stack
  • Python
  • LLMs
  • Computer vision

Location

Work model
Office
Region
United Kingdom
Office
  • London, United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

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