This role pays more than
88%
of similar roles. Most pay
$197,925–$254,750
— the shaded band above.
At the midpoint, this role pays about
$286k
versus about
$226k
for comparable roles.
Based on 240 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
76 open roles
on FindRole.
Listed pay typically runs
$209,000–$313,000
across 58 roles with salary data.
Staff Machine Learning Engineer, Diffusion, Generative Modeling and Inference joins the Generative ML Platform team to develop cutting-edge AI technologies. This role involves building innovative machine learning products, creating augmented reality experiences using generative models, and delivering generative machine learning capabilities on mobile devices. The engineer will collaborate with cross-functional teams to prototype new products while solving complex, ambiguous problems in the realm of multimodal LLMs, video generation, and 3D content creation. Required expertise includes deep knowledge of neural networks, deep learning, and generative modeling techniques. Candidates should be proficient in machine learning frameworks such as TensorFlow, PyTorch, JAX, MLX, or scikit-learn. Preferred skills include experience with large-scale diffusion models for images and video, model compression via distillation and quantization, and optimizing inference pipelines across GPU, CPU, and NPU hardware architectures.
What does a Machine Learning Engineer earn in Washington?
Median $241750 from 66 postings across 14 companies.