Machine Learning Engineer
New Today
Machine Learning Engineer at Snap Inc.
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 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 keep Snap’s products at the cutting edge.
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 to lead and execute large, complex technical initiatives.
Minimum 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 experience in neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning.
- Track record of delivering ML‑based backend products at scale in rapidly changing, highly collaborative, multi‑stakeholder environments.
- Track record of collaboration with Product, Design and Data Science functions to build consumer‑facing ML‑based products.
- History of involvement in product road‑mapping.
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.
- Proven track record 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 work.
Benefits
Benefits include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that share in Snap’s long‑term success.
Accommodation
If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.
Equal Opportunity Employer
Snap Inc. is an equal opportunity employer and provides employment opportunities regardless of race, color, religion, sex, national origin, disability, veteran status or any other protected class. EOE, including disability/vets.
- Location:
- Greater London, England, United Kingdom
- Salary:
- £150,000 - £200,000
- Job Type:
- FullTime
- Category:
- Engineering
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