Applied Scientist

Adobe

Applied Scientist

San Jose, CA
Full Time
Paid
  • Responsibilities

    JOB LEVEL
    P40
    EMPLOYEE ROLE
    Individual Contributor

    The Adobe Firefly Applied Science & Machine Learning (ASML) group is seeking a Model Tech Lead to own the optimization and architectural evolution of our multimodal editing foundation models. This position is central to the delivery of Firefly’s proprietary foundation models, focusing on developing efficient training and inference solutions that directly enhance our profit margins. We are looking for a hands-on technical authority with deep expertise in frontier foundation model areas to drive high-performance, large-scale AI delivery.

    ** Job 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.

    ** What You’ll Need to Succeed**

    • 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**

    • 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.

    \ #FireflyGenAi

    Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $142,700 -- $270,950 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

    In California, the pay range for this position is $187,100 - $270,950

    At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

    In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

    State-Specific Notices:

    California :

    Fair Chance Ordinances

    Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

    Colorado:

    Application Window Notice

    If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

    Massachusetts:

    Massachusetts Legal Notice

    It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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