Machine Learning Engineer, Generative AI (Image & Video)

Posted 21 Days Ago
London, Greater London, England, GBR
Hybrid
Junior
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Snap is a technology company.
The Role
Build, deploy, and maintain machine learning models for Snapchat products. Apply ML techniques to real-world problems, contributing across data analysis, training, evaluation, and production deployment. Collaborate with cross-functional teams to launch scalable ML-driven features using modern AI tools and engineering workflows while maintaining high standards for correctness, security, and production quality.
Summary Generated by Built In

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!


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
  • 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!

Skills Required

  • Bachelor's degree in computer science or another relevant technical field, or equivalent practical work experience
  • 2+ years of post-Bachelor's machine learning experience, or a Master's degree in a relevant technical field
  • Experience developing machine learning models for ranking, recommendations, search, content understanding, image generation, or other relevant applications
  • Advanced degree in computer science or a related field

What the Team is Saying

Xiaolin
Yvette
Matt
Jasmeet
Xueyin (Sherry)
Amir
Jung
Xu
Talia Mason
Maureen Ufomadu
Vincent Pagnard-Jourdan
Pulkit Trivedi

Snap Inc. Compensation & Benefits Highlights

  • Healthcare Strength — Health coverage includes multiple medical plan options (PPO/HDHP/HMO), dental and vision, HSA/FSA, mental-health support (e.g., Lyra), and wellness programs. Family-building benefits and services like One Medical are also part of the package.
  • Parental & Family Support — Parental leave is described as generous—up to 26–28 weeks for birthing parents and up to 16 weeks for non-birthing parents—alongside adoption, surrogacy, fertility preservation, backup childcare, caregiver assistance, and return-to-work support.
  • Retirement Support — A 401(k) with company match (immediate vesting cited), plus pre-tax, Roth, and after-tax contributions including a Mega Backdoor Roth option, supports long-term savings. Additional financial wellness tools complement the retirement program.

Snap Inc. Insights

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The Company
HQ: Santa Monica, CA
5,000 Employees
Year Founded: 2011

What We Do

We contribute to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.

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Snap Inc. Teams

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About our Teams

Snap Inc. Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our “default together” approach is an 80/20 model where we are asking team members to spend 80% of the time, on average, in the office, with the remaining 20% of the time spent remote.

Typical time on-site: 4 days a week
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