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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 core belief that the camera presents the greatest opportunity to improve the way people live and communicate, Snap Inc. 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 widely-used visual messaging app that strengthens relationships among friends, family, and the global community. Additionally, Snap Inc. owns Specs Inc., a subsidiary focused on making computing more human-centric, along with other digital services such as Bitmoji, Saturn, and more. Committed to fostering a creative and inclusive environment, Snap Inc. continually pushes the boundaries of augmented reality, artificial intelligence, and user engagement to revolutionize digital communication and entertainment.

About The Role

We are seeking a highly skilled 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 innovative 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 cutting-edge generative AI models and augmented reality technologies. You will work closely with cross-functional teams including Product, Software Engineering, Lens Content, and Data Science to prototype, integrate, and refine AI models and APIs. Your work will directly impact the creation of engaging, consumer-facing solutions that are shipped rapidly, often within weeks. This position offers an exciting opportunity to innovate at the forefront of GenAI, contributing to products that enhance user experiences through advanced visual and interactive content.

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.

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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 and Deep Learning
  • Proficiency in programming languages such as Python or C++
  • Bachelor’s degree in computer science, mathematics, statistics, or a related technical field
  • Experience in neural rendering, generative models, segmentation, object detection, classification, tracking, or similar deep learning applications
  • Knowledge of mathematics and foundational principles of deep learning
  • Excellent verbal and written communication skills with meticulous attention to detail
  • Ability to work independently and lead large technical projects
  • Experience evaluating open-source models and third-party AI APIs/services
  • Demonstrated passion for staying current with research and emerging trends in AI and machine learning

Responsibilities

  • Develop and deploy machine learning products and AI lenses that enhance Snapchat’s visual communication features
  • Build and optimize augmented reality experiences using diffusion and flow matching models
  • Create state-of-the-art GenAI pipelines for image and video generation, ensuring rapid deployment within consumer-facing applications
  • Collaborate extensively with Product, Engineering, Lens Content, and Data Science teams to prototype, test, and refine AI models and APIs
  • Monitor the market and research landscape for advancements in GenAI, evaluating open-source models and third-party APIs to inform build-vs-buy decisions
  • Contribute to the evaluation of visual quality for image and video generation models, ensuring high standards for user experience
  • Participate in iterative development cycles, incorporating user feedback and A/B testing results to improve AI features
  • Stay informed of emerging trends and research in AI, continuously enhancing technical expertise and application strategies

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Benefits

  • Paid parental leave to support work-life balance
  • Comprehensive medical, dental, and vision insurance coverage
  • Emotional and mental health support programs
  • Competitive compensation packages with opportunities for long-term success sharing
  • Flexible work arrangements aligned with the "Default Together" policy, encouraging in-office collaboration
  • Professional development opportunities and a dynamic, innovative work environment

Equal Opportunity

Snap Inc. is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We provide 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 under applicable laws. We believe that a diverse team enhances our ability to create innovative products and serve our global community effectively.

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Skills

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

Location

England, United Kingdom

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