Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

Snapchat is an app that empowers people to express themselves, live in the moment, learn about the world, and have fun together. It's the easiest and fastest way to communicate the full range of human emotions with your friends without pressure to be popular, pretty, or perfect. 

Snap’s camera supports real friendships through visual communication, self expression and storytelling. Moving forward, our camera will play a transformative role in how people experience the world around them, combining what they see in the real world, with all that’s available to them in the digital world.

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 and diffusion 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

• Strong background in deep learning and neural networks

• Deep understanding of mathematics and 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

• 3+ years of research or engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of machine learning 

• Experience with the major deep learning frameworks: PyTorch or TensorFlow

• Strong track record of software development in Python or C++

Preferred Qualifications:

• Advanced degree in computer science or related field

• Knowledge of GPU, CPU, or AI hardware accelerator architectures

• Experience building and optimizing ML inference pipelines on compute restricted devices (e.g. mobile phones)

• Knowledge of C++, Rust, Swift or similar high performance compiled language

• Experience working with machine learning frameworks such as TensorFlow, PyTorch, JAX, MLX, scikit-learn, or related frameworks

• Experience working with high performance kernels: Experience with CUDA programming, OpenMP / OpenCL programming or AI hardware accelerator kernel programming.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: 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.

Zone A (CA, WA, NYC):

The base salary range for this position is $168,000-$252,000 annually.

 

Zone B:

The base salary range for this position is $160,000-$239,000 annually.

Zone C:

The base salary range for this position is $143,000-$214,000 annually.

This position is eligible for equity in the form of RSUs.