Staff Machine Learning Engineer

Adobe; San Jose (CA); Sur place; USD 212 000 - 307 000; Plein temps

Résumé du poste

Adobe is seeking a Staff Machine Learning Engineer to design and deploy semantic matching, retrieval and ranking models across multimodal content. You will build representation learning systems with LLMs and vision-language models and scale architectures for search, recommendations, and discovery across Adobe products.

You’ll train, fine-tune, and optimize models on large datasets, create rigorous evaluation plans, and partner with research and product teams to drive end-to-end ML lifecycle and

Qualifications

• Experience building production ML systems.
• Experience with retrieval, ranking or semantic matching at scale.
• Knowledge of representation learning and transformer models.
• Experience with multimodal models (text/images/docs).

Responsabilités

• Design and deploy semantic matching and ranking models for multimodal content.
• Develop representation learning systems using LLMs and vision-language models.
• Build scalable retrieval architectures for search, recommendations and discovery.
• Train, fine-tune, and optimize ML models on large datasets.
• Create evaluation benchmarks and experiments to measure relevance and impact.
• Collaborate with research, product and engineering to ship production features.
• Lead end-to-end ML lifecycle from data prep to deployment and monitoring.
• Stay ahead on advances in IR, multimodal AI and agentic systems.

Connaissances

Semantic matching

Retrieval systems

Multimodal ML

LLMs

Python

PyTorch

TensorFlow/JAX

MLOps

A/B testing

Distributed training

Formation

MS or PhD in Computer Science or ML

Outils

PyTorch

TensorFlow

JAX

Hugging Face

Ray

Spark

Description du poste

The Opportunity

Join Adobe’s AI Foundations team within the Search, Discovery & Content AI (SDC) organization and help build the next generation of AI-powered retrieval, matching, ranking, and content understanding systems across Adobe.

Our team develops foundational AI capabilities that connect users with the most relevant content across Acrobat, Adobe Stock, Lightroom, Creative Cloud, enterprise repositories, and emerging agentic AI experiences. We work at the intersection of multimodal foundation models, large-scale retrieval systems, ranking, and generative AI.

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching and ranking models that understand text, images, documents, and other content modalities at Adobe scale. Your work will shape how millions of users—and increasingly AI agents—discover and interact with content across Adobe’s ecosystem.

What You’ll Do

• Design, develop, and deploy semantic matching, retrieval, and multi-objective ranking models for multimodal content across Adobe products.
• Build representation learning systems using LLMs, vision-language models, embedding models, and multimodal foundation models to improve relevance and content understanding.
• Develop scalable retrieval and ranking architectures powering search, recommendation, content discovery, and agentic workflows across enterprise and marketplace content.
• Train, fine-tune, and optimize machine learning models using large-scale behavioral, content, and synthetic datasets.
• Build evaluation frameworks, benchmarks, and experimentation methodologies to measure relevance, ranking quality, retrieval effectiveness, and user impact.
• Partner with Adobe Research, product teams, and engineering organizations to translate innovative research into production capabilities.
• Drive the end-to-end lifecycle of ML systems, from data preparation and model development to deployment, monitoring and continuous improvement.
• Stay ahead of with advances in information retrieval, multimodal AI, representation learning and agentic systems, bringing new innovations into Adobe products.

What You Need to Succeed

• Strong experience building and deploying machine learning systems in production.
• Strong experience developing retrieval, recommendation, ranking, search relevance or semantic matching systems at scale.
• Deep understanding of modern ML techniques, including representation learning, metric learning, transformer architectures, multi-objective optimization and large-scale model training.
• Experience working with LLMs, embedding models, vision-language models or other multimodal foundation models.
• Strong software engineering skills with proficiency in Python and experience building scalable ML services and infrastructure.
• Experience with modern ML frameworks such as PyTorch, TensorFlow, JAX, Hugging Face, Ray, Spark or equivalent technologies.
• Experience designing and analyzing offline and online evaluations, including A/B testing and relevance metrics.
• Familiarity with distributed training, large-scale data processing and MLOps standard methodologies.
• Strong problem‑solving skills and ability to collaborate across research, engineering and product teams.
• MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Information Retrieval or a related field, or equivalent experience.

Nice to Have

• Experience building large-scale search, recommendation, retrieval or ranking systems.
• Expertise in multimodal representation learning across text, images, documents, video or other modalities.
• Experience with vector search, embedding-based retrieval, approximate nearest neighbour systems and retrieval‑augmented architectures.
• Familiarity with learning‑to‑rank techniques, relevance optimisation and search quality evaluation.
• Experience applying foundation models, LLMs and agentic AI systems to retrieval, ranking or content understanding problems.
• Publications or open‑source contributions in machine learning, information retrieval, search ranking, recommender systems or multimodal AI.

About The Team

The AI Foundations team develops core AI capabilities for content and intent understanding, semantic retrieval, matching, ranking and intelligent content experiences across Adobe.

Our work spans documents, images, creative assets, enterprise repositories and marketplace content. We build foundational technologies that enable users and AI agents to discover, understand and interact with the right content at the right time.

We operate at the intersection of multimodal foundation models, large‑scale machine learning systems, information retrieval and generative AI. Our mission is to transform how content is organised, discovered and used across Adobe products, helping individuals and organisations unlock more value from their content.

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalised 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.

Our 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 organisation. The next big idea could be yours.

Let’s 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 programmes, 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 colour, 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 [e-mail] or call 1 408‑536‑3015.

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 it’s restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labour across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 — $306,625 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.

In California, the pay range for this position is $211,800 – $306,625

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.