Machine Learning Engineer, Generative ML , Level 5

Snap Inc.

Quick summary

Work type
On-site
Location
Los Angeles, CANew York, NY
Salary
$209,000–$313,000 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $218k
This role $261k
$147k most similar roles pay here $331k

This role pays more than 88% of similar roles. Most pay $186,575–$249,750 — the shaded band above. At the midpoint, this role pays about $261k versus about $218k for comparable roles.

Based on 239 similar postings.

Employer

About Snap Inc.

Snap Inc. is a technology and camera company, best known for Snapchat, offering visual communication, augmented reality, and advertising products.

Snap Inc. currently has 55 open roles on FindRole.

Listed pay typically runs $209,000–$313,000 across 38 roles with salary data.

Most-posted roles

View all roles at Snap Inc.

At a glance

TL;DR · Machine Learning Engineer, Generative ML , Level 5

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As a Level 5 Machine Learning Engineer on Snap’s Generative ML Platform team, you will develop innovative AI technologies that power creative and scalable experiences for millions of users. Your day-to-day involves working on state-of-the-art generative pipelines for image, video, and audio generation, delivering cutting-edge AR experiences using diffusion models, and collaborating with cross-functional teams to prototype new products. You should have strong software development skills in Python or C++, proficiency with PyTorch or TensorFlow, and a passion for staying current with machine learning research. The role requires experience in generative models, efficient models, and related applications of ML, as well as the ability to work independently while effectively collaborating across teams.

Skills

Python PyTorch TensorFlow C++ GenerativeAI DeepLearning AR DiffusionModels MLOps

What you'll do

  • Develop innovative machine learning technology for millions of users.
  • Build state-of-the-art generative AI pipelines for image, video, and audio.
  • Deliver on-device generative machine learning experiences.
  • Create cutting-edge AR experiences using generative models.
  • Collaborate with cross-functional teams to prototype new products.

What we're looking for

  • Proven experience developing machine learning technology for millions of users
  • Strong background in Python or C++ and proficiency with PyTorch or TensorFlow
  • Expertise in generative models, efficient models, segmentation, object detection, classification, tracking
  • Minimum 5 years of post-Bachelor’s machine learning experience required
  • Ability to collaborate effectively with cross-functional teams and work independently

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