Staff Machine Learning Engineer, Diffusion, Generative Modeling and Inference

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

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

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

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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.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

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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!

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.