We’re looking for a Machine Learning Engineer to join Snap Inc!
What you’ll do:
Develop innovative machine learning technology and products that serve millions of Snapchatters
Build cutting-edge augmented reality experiences using generative models
Deliver generative machine learning experiences on device
Partner with cross-functional Snap teams to explore and prototype new products
Knowledge, Skills & Abilities:
A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly
Familiarity with Neural Networks and Deep Learning and Generative Modeling
Deep understanding of mathematics and/or machine learning algorithms
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
Minimum Qualifications:
Bachelor's degree in technical field such as computer science, mathematics, statistics or equivalent years of experience
8+ years of post-Bachelor’s machine learning or related experience; or a Master’s degree in a technical field + 7+ years of post-grad ML or related experience; or a PhD in a related technical field + 4+ years of post-grad ML or related experience
Experience with Computer Vision or Generative Modeling techniques
Experience working with machine learning frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks
Preferred Qualifications:
Advanced degree in computer science or related field
Experience training large-scale diffusion models for images, videos or 3D
Knowledge of distillation, quantization and model compression techniques
Knowledge of GPU, CPU, or NPU optimization techniques
Experience building and optimizing ML inference pipelines
Experience working with machine learning frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks
: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!
Compensation
In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position.These pay zones may be modified in the future.
:
The base salary range for this position is $229,000-$343,000 annually.
Zone B:
The base salary range for this position is $218,000-$326,000 annually.
Zone C:
The base salary range for this position is $195,000-$292,000 annually.
This position is eligible for equity in the form of RSUs.
