Global Experience Machine Learning

Job Description

Our Company

Changing 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 Opportunity

The Global Experience Team at Adobe is actively seeking an experienced Machine Learning Engineer with a strong focus on Natural Language Processing (NLP), Natural Language Understanding (NLU), Machine Translation, and Generative Artificial Intelligence. In this role, you will play a vital role in advancing the globalization and content engineering platforms, all while harnessing the potential of AI technologies. We are looking for an individual with a profound interest in different languages and cultures, coupled with the technical expertise to transform this passion into world-class, globally accessible software. You will be an integral part of our geographically distributed team with members spanning the United States, Japan, India, and Europe, requiring effective cross-cultural communication and collaboration.

What you'll Do

• Assess and improve Machine Translation quality through standard industry metrics.
• Design, implement, and integrate AI solutions (incl. agentic) that improve localization and authoring workflows.
• Partner with Adobe DX teams to create GenAI features catering to global audiences.
• Build AI shared services that bring value to both internal partners and external customers.
• Conduct research in AI, LLM, and NLP to innovate multilingual AI features for collaborators and customers.
• Lead and/or contribute to research and the productization of ML models, ensuring scalable and reliable implementations.

What you need to succeed

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field.
• Excellent programming skills in Python with strong fundamentals in programming, optimizations, and software design.
• Solid understanding of Machine Learning and Deep Learning techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BARD, GPT/T5, LLMs), and Retrieval Augmented Generation (RAG).
• Experience with vector databases and embedding systems (Pinecone, Weaviate, Chroma, FAISS) for semantic search and retrieval applications.
• Hands-on experience with conversational AI technologies like Natural Language Understanding, Natural Language Generation, Dialog systems, Information retrieval and Question and Answering, Machine Translation, etc.
• Advanced proficiency in ML frameworks (PyTorch, TensorFlow, Keras) and LLM development tools (LangChain, LangGraph).
• Strong collaborative and interpersonal skills.
• Self-motivated to spearhead innovative initiatives and continuously learn new skills.
• Solid knowledge/experience with at least one foreign language.

Ways to stand out from the crowd

• Familiarity with GPU-based technologies like CUDA, CuDNN, and TensorRT.
• Familiarity with speech and video processing algorithms.
• Experience with deploying ML models in production environments and optimizing them for performance.
• Experience in building agents and agentic solutions.
• Real AI implementation use-cases acquired through open-source, internship, or job experiences.

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 position is $102,400 -- $196,300 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.

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.

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 applicable characteristics protected by law. Learn more.

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Locations - Location

San Jose, California, United States of America

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