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Sundayy

Machine Learning Engineer

England
Posted about 15 hours ago
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About The Company

Snap Inc. is a leading technology company dedicated to enhancing human connection through innovative visual communication tools. With a mission to improve the way people live and communicate, Snap develops products that empower users to express themselves, live in the moment, learn about the world, and have fun together. The company operates Snapchat, a popular visual messaging app that strengthens relationships with friends, family, and the global community. Additionally, Snap owns Specs Inc., a subsidiary focused on making computing more human, along with other digital services such as Bitmoji, Saturn, and more. Committed to fostering innovation and creativity, Snap continually pushes the boundaries of augmented reality, artificial intelligence, and computer vision to deliver engaging, cutting-edge experiences to millions worldwide.

About The Role

We are seeking a highly skilled and innovative Senior Machine Learning Engineer to join our Consumer Generative AI Product Machine Learning Engineering team at Snap. In this role, you will be instrumental in developing advanced machine learning products and AI-driven lenses that serve millions of Snapchat users daily. Your primary focus will be on image and video generation and editing, leveraging state-of-the-art diffusion and flow matching models to create immersive augmented reality experiences. You will work closely with cross-functional teams—including Product, Software Engineering, Lens Content, and Data Science—to prototype ideas, integrate ML models and APIs into production environments, and optimize solutions through rigorous A/B testing and user feedback. This position offers an exciting opportunity to stay at the forefront of GenAI research, evaluate emerging models and tools, and contribute to innovative products that redefine digital communication and entertainment.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Qualifications

  • Strong background in Machine Learning, deep learning, and computer vision
  • Proficiency in programming languages such as Python and C++
  • Bachelor’s degree in computer science, mathematics, statistics, or a related technical field
  • Experience with neural rendering, generative models, segmentation, object detection, classification, or tracking
  • Knowledge of mathematics foundational to deep learning and AI
  • Excellent verbal and written communication skills with meticulous attention to detail
  • Ability to work independently and lead large, complex technical projects
  • Proactive learning mindset and ability to quickly adapt to new concepts and technologies

Responsibilities

  • Develop and deploy machine learning products and AI-driven lenses that enhance Snapchat’s user experience, focusing on image and video generation and editing
  • Build and optimize cutting-edge augmented reality experiences utilizing diffusion and flow matching models
  • Design, prototype, and iterate on GenAI pipelines for consumer-facing applications, delivering solutions within aggressive timelines
  • Collaborate extensively with Product, Engineering, Lens Content, and Data Science teams to integrate ML models and APIs into production environments
  • Monitor industry trends and research developments in Generative AI to evaluate new models, open-source tools, and third-party APIs for potential adoption
  • Conduct thorough evaluations of visual quality for image and video generation models, ensuring high standards of output
  • Participate in user feedback analysis and A/B testing to refine AI features and improve overall product performance
  • Contribute to the continuous improvement of Snap’s AI capabilities by staying updated with the latest research and innovations in the field

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Benefits

  • Paid parental leave to support work-life balance
  • Comprehensive medical, dental, and vision coverage for employees and their families
  • Emotional and mental health support programs to promote well-being
  • Competitive compensation packages with opportunities for long-term success sharing
  • Professional development and learning opportunities to enhance your skills
  • Flexible work arrangements to accommodate diverse needs

Equal Opportunity

Snap Inc. is an equal opportunity employer committed to fostering an inclusive environment for all employees. We celebrate diversity and are dedicated to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, sex, gender identity, gender expression, pregnancy, childbirth, breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification. We adhere to all applicable federal, state, and local laws and regulations, ensuring a fair and equitable hiring process. We encourage individuals from all backgrounds to apply and join our vibrant community dedicated to innovation and connection.

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Skills

Machine Learning
Deep Learning
Computer Vision
Python
C++
Neural Rendering
Generative Models
Segmentation
Object Detection
Classification
Tracking
Diffusion Models
Flow Matching Models
A/B Testing
API Integration

Location

England, United Kingdom

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