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Adobe

Sr Director, ML (Foundry) at Adobe

Adobe San Jose, CA

Job Description

Our CompanyChanging the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.Were on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization and we know the next big idea could be yours!The OpportunityWere looking for a Sr Director ML Engineering and AI to build and lead the team driving our next generation of AI-native content creation with Firefly Foundry! In this role youll own the AI and engineering strategy and execution behind Foundry models that power everything from franchise extensions and new IP development to modern GenAI workflows at production scale. Youll partner closely with studio product and infrastructure teams to turn ambitious creative visions into reliable high-performance ML systems that transform how content is conceived produced and delivered.What you will doOwn the end-to-end ML strategy for our Foundry engineering and science across Generative Media models from applied research to production deployment.Lead and grow a high-performing team of applied scientists and ML engineers; set clear goals coach senior talent and create a culture of experimentation rigor and delivery.Design and evolve our multi-tier model stack: foundation models franchise models on-set integration and social/short-form extensions and workflows.Partner closely with studio production and product teams to translate creative and business requirements into concrete ML roadmaps milestones and success metrics.Drive the technical architecture for training and inference at scale: data pipelines evaluation frameworks model lifecycle and GPU/accelerator utilization across a multi-year horizon.Establish and own quality bars for generative output (visual fidelity temporal consistency editability safety) and build the evaluation tools benchmarks and human-in-the-loop processes to enforce them.Collaborate with infrastructure and platform teams to design scalable cost-efficient serving for real-time on-set use cases and high-volume social content generation.Stay on top of the GenAI research ecosystem and selectively bring in new techniques (e.g. diffusion video transformers latent video models control/adapters) when they materially improve capability cost or speed.What you need to succeed10 years of experience in applied machine learning including 4 years leading senior ML/engineering teams building real products at scale.Deep hands-on expertise with modern generative models (diffusion transformers VAEs latent video models or similar) and experience taking at least one such system into production.Strong background in large-scale training and inference: distributed training GPU/accelerator stacks (e.g. CUDA NCCL) model optimization/quantization and performance debugging.Proven ability to design and ship ML systems end-to-end: data pipelines training eval deployment monitoring and continuous improvement.Experience working with high-resolution media (4K video high bit-depth pipelines) or adjacent domains where bandwidth and latency constraints matter.Excellent leadership and communication skills; able to work directly with creative production and business stakeholders and turn ambiguous problems into clear technical plans.Strong software engineering fundamentals (Python modern ML frameworks such as PyTorch/JAX production code quality CI/CD observability).Bachelors/Masters/PhD in Computer Science Electrical Engineering or a related field or equivalent practical experience building and leading advanced ML systems.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 $$429100 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge skillsand experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.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 OrdinancesAdobe 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 NoticeIf 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 NoticeIt 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.Adobe is proud to be anEqual Employment Opportunityemployer. We do not discriminate based on gender race or color ethnicity or national origin age disability religion sexual orientation gender identity or expression veteran status or any other applicable characteristics protected by law.Learn more.Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process emailor call .Required Experience:Exec Key Skills Fundraising,Management Experience,Coaching,Analysis Skills,Strategic Planning,Team Management,Budgeting,Leadership Experience,Mentoring,Public Speaking,negotiation,Supervising Experience Employment Type : Full-Time Experience: years Vacancy: 1 Yearly Salary Salary: 201100 - 429100

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