Machine Learning Engineer, Consumer Gen AI Product Engineering

Posted Yesterday
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London, Greater London, England, GBR
Hybrid
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
Snap is a technology company.
The Role
Design and ship consumer-facing generative AI and AR features for image/video generation and editing. Prototype models, integrate ML into production pipelines, collaborate with Product/Design/Engineering, evaluate open-source models and APIs, and iterate via A/B testing and user feedback.
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.


We're looking for a Senior 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 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

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

  • Ability leading and executing large, complex technical initiatives

Minimum Qualifications:

  • Strong background in Machine Learning

  • 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

Preferred 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

  • 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

  • Strong background in Machine Learning
  • Experience supporting applied ML teams that work closely with Product
  • Strong programming skills in Python or C++
  • Bachelor's degree in CS, mathematics, statistics or equivalent experience
  • Experience with neural rendering, generative models, segmentation, detection, classification, or tracking
  • Track record delivering ML-based backend products at scale
  • History of collaboration with Product, Design, and Data Science on consumer ML products
  • History of involvement in product roadmapping
  • Ability to lead and execute large, complex technical initiatives
  • Excellent verbal and written communication skills
  • Knowledge of computer graphics foundations
  • Experience with visual Gen AI models for image and video generation and editing
  • Experience evaluating visual quality of image and video models

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

  • Parental & Family Support Parental leave, family‑building benefits, caregiver assistance, and backup child care are described as extensive and well‑structured. Return‑to‑work support and lactation resources add practical help for families.
  • Healthcare Strength Medical, dental, and vision coverage are broad, with mental‑health sessions, One Medical access, wellness reimbursements, and virtual physical therapy included. These offerings indicate a comprehensive approach to health and well‑being.
  • Retirement Support A 401(k) with employer matching and an after‑tax “mega backdoor” option supports flexible, higher‑ceiling savings. HSAs/FSAs and related financial resources further strengthen overall financial wellness.

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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