Machine Learning Engineer, Generative ML

Jobtailor; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking a senior ML Engineer to advance on-device generative models and GenAI pipelines for image, video, and audio. You will collaborate with cross-functional teams to prototype new products and deliver high-impact AI experiences for millions of Snapchat users.

Ideal candidates have 5+ years of ML experience with deep learning foundations, strong Python/C++ skills, and a passion for solving open, ambiguous problems in dynamic environments.

Qualifications

• Bachelor’s degree in a technical field; five+ years of post-bachelor ML experience or advanced degree combinations.
• Experience with generative models, efficient models, segmentation, object detection, classification, tracking or related ML tasks.
• Strong software development skills in Python or C++ and deep learning frameworks like PyTorch or TensorFlow.

Responsibilities

• Develop innovative ML tech and products serving millions of users.
• Work on state-of-the-art GenAI pipelines for image, video, and audio generation.
• Deliver generative ML experiences on device and build AR experiences with diffusion models.

Skills

Python

C++

Deep Learning

Collaboration

Problem solving

Independent work

Education

Bachelor’s degree in a technical field

Master’s degree in a technical field

PhD in a relevant technical field

Tools

PyTorch

TensorFlow

GenAI pipelines

On-device ML deployment

Job description

Responsibilities

• Develop innovative machine learning technology and products that serve millions of Snapchatters
• Work on state of the art GenAI pipelines for image, video, and audio generation
• Deliver generative machine learning experiences on device
• Build cutting-edge augmented reality experiences using generative and diffusion models
• Partner with cross-functional Snap teams to explore and prototype new products

Requirements

• Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of experience
• 5+ years of post-Bachelor’s machine learning experience; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience
• Research or engineering experience in one or more of the following: generative models, efficient models, segmentation, object detection, classification, tracking, or other related applications of machine learning
• Strong software development skills in Python or C++
• Proficiency working with major deep learning frameworks: PyTorch or TensorFlow
• Knowledge of mathematics and deep learning foundations
• Desire to solve open ambiguous problems
• Desire to grow professionally, learn and help others
• Ability to effectively collaborate with internal teams and external partners
• Ability to work independently