Adobe
Research Engineer
$121K–$239K
Seattle · Full-time · Posted Sep 18, 2026
- Experience
- 3 years of industry experience, or a Ph.D. or Master's degree in Computer Science or a related field.
- Education
- Ph.D. or Master's degree in Computer Science or a related field, or 3 years of industry experience.
About the job
Develop and optimize machine-learning models and algorithms so generative AI and other technologies run efficiently across cloud, desktop, mobile, and other platforms.
What you'll do
- Collaborate with scientists and engineers to make emerging technologies efficient across platforms and devices.
- Adapt models and algorithms to the constraints of different systems and devices.
- Contribute to research projects and existing or new Adobe products and tools.
What they ask for
- Deep learning skills, including practical experience in computer vision or natural language processing.
- Knowledge of ML efficiency and experience improving efficiency of mid- to large-scale ML models.
- Software engineering expertise and proficiency with Python and ML libraries such as PyTorch, TensorFlow, or JAX.
- Strong communication and collaboration skills.
Nice to have
- Knowledge of state-of-the-art methods for large-scale multimodal models.
- Experience with model optimization techniques, deployment environments, cross-platform ML, or C++.
Pay
USD $120,700 - $238,600 annually (base salary); USD $146,300 - $211,850 (base salary)
Tools
Python, PyTorch, TensorFlow, JAX, TensorRT, AITemplate, CoreML, ONNXRuntime
AI focus
Optimize and compress high-performance ML models, especially large-scale generative models, for resource efficiency and cloud or on-device deployment.
Model-written summary · the original posting is authoritative