{"id":61505,"url":"https://alion.io/job/adobe-principal-machine-learning-engineer","title":"Principal Machine Learning Engineer","company":{"id":26,"name":"Adobe","domain":"adobe.com","url":"https://alion.io/company/adobe","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":89,"open_postings":28,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-26T05:57:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States","San Francisco, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":206400,"max":379100,"currency":"USD","period":"year","gross":null,"usd_annual":379100},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Adobe Photoshop","optional":false},{"name":"CUDA","optional":false},{"name":"Diffusion Models","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"TensorRT","optional":false},{"name":"Knowledge Distillation","optional":true},{"name":"Kubernetes","optional":true}],"status":"closed","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-08-17","last_verified_at":"2026-10-25T20:54:50Z","board_verified":false,"closed_at":"2026-10-25T20:54:50Z","days_open":69,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":69},"description":"The Opportunity\nFirefly Foundry is Adobe's enterprise managed-service offering for custom multimedia generative AI - deep-tuned image, video, and 3D models built on each customer's IP, paired with creative production workflows and a media-intelligence layer, and deployed across new and existing Adobe surfaces and products, including Firefly, Photoshop, Illustrator, Express, Stock, and Premiere.\nWe are hiring a Principal Machine Learning Engineer to serve as the technical lead for our GenAI Services area. This is not a model-training or research role - it is the senior-most hands-on engineering authority over how our generative models are architected,optimized, and served at enterprise scale. You will set the inference architecture and technical standards that a growing organization of engineers builds against, co-develop and optimize the inference code that makes those systems fast and cost-efficient, and architect the APIs and product backend that let Adobe's first-party and third-party models reach both internal applications and external plugin integrations. Where the Director owns the multi-year technical strategy, headcount, and company roadmap for the org, you own the architecture, technical depth, and hands-on execution that make that strategy real - spanning multiple engineering teams without owning their people management.\nWhat this role owns\nThe technical architecture for composing,optimizing, and serving heterogeneous generative model pipelines - LLMs, diffusion and transformer-based image/video models, RAG and retrieval systems, multi-turn agentic flows, and 3D/mesh pipelines - across the GenAI Services area.\n\nThe optimization strategy for inference performance: latency, throughput, and cost-to-serve across model families and GPU fleets.\n\nThe system design standards for pipeline composition, multi-tenant serving, and the product backend/API and plugin surface that integratesfirst-partyand third-party generative models into Adobe's flagship products.\n\nTechnical direction across multiple engineering teams as the principal authority on architecture and design - a cross-team scope, distinct from the Director's org-wide roadmap andmanagementownership.\n\nWho you will partner with\nApplied Science - to translate research models and emerging techniques into production-grade inference architecture.\n\nDirector, ML Engineering and ML Engineering leadership -to aligntechnical architecture with organizational strategy and priorities.\n\nProduct Managers and TPMs - to define and deliver against the roadmap for GenAI services and APIs.\n\nFirefly Foundry Studio and AI Platform - to translate creative production workflows into performant services and toalign onshared infrastructure and serving primitives.\n\nWhat you will do\nLead the development of core GenAI services and APIs that integrate a wide range of first-party and third-party generative models into Adobe's flagship products.\n\nArchitect MLservingworkflows for enterprise-scale model customization, deployment, and ecosystem integration - including externalizable, self-serve fine-tuning flows.\n\nCo-develop andoptimizeGPU-accelerated inference pipelines - prioritizing latency, throughput, scalability, and reliability - using tools such asPyTorch, CUDA, Triton, andTensorRT.\n\nDesign andarchitectthe product backend and plugin ecosystem that lets internal applications and external integrations consume Firefly Foundry's model services.\n\nProvide hands-on technical leadership: guide engineers through architecture, design, implementation, and best practices, and mentor a growing organization of ML engineers.\n\nResearch and evaluate emerging inference andMLOpstechnologies - serving runtimes, quantization, GPUscheduling - to improve engineering velocity and system performance.\n\nLead design reviews and set technical standards, ensuring high reliability and maintainability across systems.\n\nDrive cross-functional alignment with Product Managers, TPMs, and engineering leaders to define and deliver on the roadmap.\n\nFoster a culture of technical excellence and continuous improvement across the organization.\n\nWhat you bring\nMS or PhD in Computer Science, Machine Learning, or a related field - or equivalent industry experience.\n\n8+ years of experience in machine learning engineering, including production-scale deployment and serving - not training or research experimentation.\n\n3+ years leading the technical direction of large-scale, GPU-intensive GenAI inference systems - serving, architecture, and optimization.\n\nDeep experience with inference frameworks and tools such asPyTorch, CUDA, Triton,TensorRT, Nvidia Dynamo, and Python.\n\nStrong understanding of generative model architectures - diffusion models, transformers, GANs, LLMs - sufficient to make architecture and optimization calls and reasonaboutoutput quality, in partnership with Applied Science.\n\nProven experience architecting multi-model pipelines and serving them behind APIs at enterprise scale.\n\nExperience designing product backend systems and plugin architectures consumed by internal applications and external integrations.\n\nProven success leading cross-functional teams through complex, high-stakes technical initiatives, witha track recordof driving alignment in matrixed organizations.\n\nExcellent communication and technical leadership skills.\n\nPreferred Qualifications\nExperience with model serving, orchestration, and GPU resource management in large-scale environments.\n\nHands-onexpertisein Kubernetes, distributed systems, andMLOpsplatforms.\n\nExperience with RAG architectures and multi-turn, agentic conversational systems.\n\nExperience with quantization, distillation, or other model-optimization techniques for inference.\n\nEducation\nMaster's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience building and leading production-scale ML systems.\n\nAbout Adobe\nAdobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.\n\nOur 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.\n\nLet’s Adobe together\nAt Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.\n\nAdobe is proud to be an Equal Employment Opportunity employer. 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 protected characteristic. Learn more.\n\nAdobe aims to make our Careers website and recruiting process 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, email .\n\nAI Use Guidelines for Interviews:\nOur interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.\n\nAt Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.\nExpected Pay Range:\nOur 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 position is $206,400 -- $379,100 annually. Pay within this range varies by work location and 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.\n\nIn California, the pay range for this position is $261,800 - $379,100\nIn Washington, the pay range for this position is $242,600 - $351,225\nAt 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).\nIn addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.\nState-Specific Notices:\nCalifornia:\nFair Chance Ordinances\nAdobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.\nColorado:\nApplication Window Notice\nIf 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.\nMassachusetts:\nMassachusetts Legal Notice\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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