Research Engineer

Adobe

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Seattle, WA
Salary
$120,700–$238,600 / yr
Employment
Full-time
Posted
39 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $186k
This role $180k
$107k $253k
below market most similar roles pay here above market

This role pays less than 55% of similar roles. Most pay $145,642–$225,750 — the blue band above. At the midpoint, this role pays about $180k versus about $186k for comparable roles.

Based on 240 similar postings.

Employer

About Adobe

Adobe Inc. is a global software company known for creative and multimedia software products including Photoshop, Illustrator, Acrobat, and its cloud-based Creative Cloud and Document Cloud suites. Industry: Creative & Digital Experience Software

Adobe currently has 282 open roles on FindRole.

Listed pay typically runs $148,100–$282,100 across 76 roles with salary data.

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At a glance

TL;DR · Research Engineer

The Research Engineer joins the Research Engineering & Design Lab to develop high-performance machine learning models. This role focuses on optimizing resource consumption for large-scale generative models intended for cloud and on-device deployment across web, desktop, and mobile applications. You will collaborate with scientists and engineers to adapt models and algorithms for image processing, audio, video, animation, 3D, and vector graphics. Key responsibilities include building innovative tools, improving model efficiency, and implementing techniques like pruning, quantization, and architecture search. Required skills include deep learning expertise in computer vision and natural language processing, software engineering proficiency, and experience with Python and libraries such as PyTorch, TensorFlow, or JAX. Candidates should understand ML efficiency for multimodal models and deployment environments like TensorRT or CoreML.

What you'll do

  • Optimize resource consumption for large-scale generative models for cloud and on-device deployment.
  • Adapt models and algorithms to run efficiently on various platforms and hardware limitations.
  • Develop innovative tools that enable users to explore their creative potential.
  • Contribute to existing Adobe tools and develop completely new applications.
  • Implement model compression techniques like pruning, quantization, and knowledge distillation.
  • Design and deploy ML models across cloud, mobile, and in-browser environments.
  • Ensure generative AI technologies for image, audio, and video run efficiently in production.

What we're looking for

  • Ph.D. or Master's degree in Computer Science or a related field, or 3 years of industry experience.
  • Solid deep learning skills with practical experience in computer vision or natural language processing.
  • Experience in improving the efficiency of mid- to large-scale ML models.
  • Software engineering expertise with proficiency in Python and ML libraries like PyTorch, TensorFlow, or JAX.
  • Strong communication and collaboration skills.
  • Knowledge of state-of-the-art ML efficiency and model optimization/compression (preferred).
  • Experience with diffusion model optimization, pruning, quantization, or architecture search (preferred).
  • Experience running ML models in deployment environments like TensorRT or CoreML (preferred).

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