Adobe · 10 hours ago
Applied Scientist
San Jose
Full-time
Onsite
Senior Level
$143K/yr - $271K/yrAdobe is a company focused on changing the world through digital experiences. They are seeking an Applied Scientist to lead architectural innovation and optimization of their multimodal editing foundation models, ensuring efficiency and high-performance AI delivery.
Artificial Intelligence (AI)ConsultingEnterprise SoftwareGraphic DesignImage RecognitionPhoto EditingSaaSSoftwareUX DesignWeb Design
Responsibilities
Drive Architectural Innovation: Design and implement novel MLLM architectures (e.g., sparse models, MoE) and specialized kernels, using deep expertise in quantization, pruning, and post-training optimization to enhance efficiency
Implement Performance Roadmaps: Lead the end-to-end efficiency roadmap for Adobe’s multimodal editing stack, focusing on reducing computational costs for both large-scale training and low-latency inference while maintaining powerful performance
Technical Leadership & Execution: Lead a multi-functional squad as a hands-on authority, unblocking complex technical issues, conducting rigorous code reviews, and upholding high engineering standards for reproducibility and quality
Post-Training Optimization: Oversee advanced model compression and deployment strategies, ensuring that frontier models are optimized for real-world enterprise performance and scalability
Qualification
Required
Advanced Technical Degree: Ph.D. in Computer Science, AI/ML, or a related field (or equivalent industry experience)
Efficiency Expertise: Proven track record in model efficiency for foundation models, specifically in quantization, pruning, sparse architectures, and kernel optimization
Foundation Model Depth: Deep technical expertise in frontier foundation model research, including multimodal perception and generative editing
Leadership Impact: Experience leading multi-functional squads and defining technical roadmaps that translate complex research into production-ready, efficient models
Engineering Excellence: Proficiency in modern ML stacks (e.g., PyTorch, JAX) and specialized performance tools (e.g., CUDA, Triton, DeepSpeed, or FSDP)
Preferred
Experience optimizing MLLMs for high-throughput, cost-sensitive production environments
Familiarity with hardware-aware optimization and custom operator development
Background in scaling large-scale training runs while maintaining strict compute budgets and profit margin targets
A history of bridging the gap between ground breaking research in model sparsity and stable, enterprise-grade deployment
Benefits
Annual Incentive Plan (AIP)
Long-term incentives in the form of a new hire equity award
Company
Adobe
Adobe is a software company that provides its users with digital marketing and media solutions.
Founded in 1982
10001+ employees
H1B Sponsorship
Adobe has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1160)
2024 (1217)
2023 (750)
2022 (878)
2021 (742)
2020 (477)
Funding
Current Stage
Public CompanyTotal Funding
$2.5MKey Investors
Apple
1986-08-20IPO
1984-10-01Series Unknown· $2.5M
Leadership Team
Shantanu Narayen
CEO
Dan Durn
Chief Financial Officer
Recent News
2026-01-11
2026-01-09
Chicago Tribune
2026-01-09
Company data provided by crunchbase