Sr Staff Machine Learning Engineer Media Intelligence

Firefly Foundry is Adobes enterprise managed-service offering for custom multimedia generative AI deep-tuned image video and 3D models built on each customers IP paired with creative production workflows and a media-intelligence layer and deployed across new and existing Adobe surfaces. As customers bring ever-larger libraries of media and generate ever more of it the ability to process understand and search that content for people and increasingly for AI agents is becoming one of the products core forms of leverage. The business has gained significant traction in Media & Entertainment marketing and consumer retail and is expanding rapidly into adjacent verticals.

We are hiring a Senior Staff Machine Learning Engineer to architect and lead the data processing indexing and search infrastructure behind Firefly Foundrys media intelligence the systems that turn massive volumes of customer media (image video 3D audio) and model-derived signals (embeddings captions entities shot and scene structure aesthetic safety and IP labels) into structured low-latency searchable intelligence and that expose it as agentic search: retrieval designed to be driven by AI agents not only by people.

This is a systems and infrastructure role not a model-training or research role you wont be running training experiments. You own the platform on the other side of the model: the pipelines that enrich and index media at scale the hybrid and multimodal retrieval stack that serves it and the tool interfaces and grounding contracts that let agentic workflows retrieve reason and cite. As a Senior Staff engineer you set the multi-year technical direction for this platform are the recognized technical authority for data and search across Firefly Foundry and multiply the teams around you through design leadership and mentorship. Your work has direct measurable impact on the recall freshness latency cost and scale of everything Firefly Foundrys intelligence and agents depend on.

• Design and build scalable data-processing pipelines that transform raw customer media and model-derived signals (embeddings captions entities shot/scene structure safety and IP labels) into structured searchable intelligence with the throughput correctness and cost profile enterprise scale demands.
• Contribute to the technical vision and architecture for Firefly Foundrys media-intelligence data platform and search stack the systems that ingest enrich index and serve retrieval over billions of media assets and be the engineer the organization looks to for the hardest data and search decisions.
• Architect the indexing and search infrastructure hybrid lexical vector (ANN) retrieval multimodal and cross-modal search ranking and reranking faceting and rich metadata filtering tuned for both human and agent consumers.
• Make search a first-class capability for agents tool/function-call retrieval interfaces multi-hop query planning iterative retrieval and grounded results with citations and provenance that agentic workflows can trust.
• Own index lifecycle and freshness incremental and streaming indexing backfills and reprocessing and schema and embedding-model versioning so the index stays correct and current as models and content evolve.
• Engineer for enterprise from the ground up per-tenant index isolation data residency and the access controls that let us honor customer IP contracts under audit.
• Define and enforce retrieval quality gates offline and online evaluation ( nDCG groundedness) regression detection and drift monitoring that block quality regressions from reaching production.
• Own the performance and cost envelope of the platform query latency (p50/p99) and throughput SLAs ANN index tuning GPU-accelerated enrichment (embedding/captioning) at scale and right-sizing storage serving and accelerator fleets.
• Build the platform underneath it all rapid pipeline and index deployment observability monitoring and alerting across data and search systems.
• Run these systems operationally at enterprise scale on-call incident response and postmortems for availability freshness and latency regressions.
• Lead technically across teams set standards drive build/buy and design decisions mentor senior engineers and represent Firefly Foundrys data and search architecture to leadership and partner orgs.

• Applied Science on embedding captioning and understanding models and rankers; taking model output into reliable high-recall retrieval and keeping retrieval quality faithful as models evolve.
• Agent & product teams the primary consumers of agentic search; co-designing retrieval tool interfaces grounding contracts and the feedback loops that improve them.
• ML Engineering leadership & AI Platform on shared infrastructure storage and accelerator capacity and search/serving primitives at platform scale.
• Firefly Foundry Studio to turn creative production and media-management workflows into fast dependable search experiences.

• 10 years in machine learning data or infrastructure engineering including deep ownership of large-scale data processing and/or search & retrieval systems in production and a track record of leading systems and setting technical direction across teams.
• Deep expertise designing and operating search and retrieval infrastructure at scale vector/ANN (e.g. HNSW IVF ScaNN DiskANN) lexical search (Lucene / Elasticsearch / OpenSearch) hybrid retrieval ranking and reranking and query understanding.
• Strong data-engineering foundations large-scale batch and streaming pipelines (e.g. Spark Beam Flink Ray) data modeling and the storage systems behind them (object stores vector databases columnar/OLAP).
• Experience building retrieval for LLM and agentic systems RAG multimodal and cross-modal search grounding and provenance and retrieval evaluation.
• Strong Python plus a systems language (Go Rust or C) a plus; hands-on familiarity with embedding models and the inference paths that produce them (PyTorch).
• A track record building the observability monitoring and alerting that data and search systems rely on to hit freshness recall and latency SLAs.
• Experience with multi-tenant systems and data isolation in an enterprise or regulated context.
• Fluency with containers and orchestration (Docker Kubernetes) CI/CD and a major cloud (AWS or Azure).
• Comfort reasoning about retrieval quality and relevance across modalities (text image video 3D audio) in partnership with Applied Science.
• Proven technical leadership mentoring senior engineers driving cross-org design and build/buy decisions and influencing roadmap and standards.
• Excellent communication and data-driven problem-solving in cross-functional settings including with leadership.

• MS or PhD in Computer Science Computer Engineering or a related field or equivalent practical experience building and operating large-scale data and search systems.

#FireflyGenAI

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes 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.

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were 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.

Lets Adobe together

At 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.

Adobe 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.

Adobe 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 .

AI Use Guidelines for Interviews:
Our 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.

At 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 its restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

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 $$345650 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.

In California the pay range for this position is $238700 - $345650 In New York the pay range for this position is $238700 - $345650 In Washington the pay range for this position is $223500 - $323700

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.