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Global Experience Machine Learning & NLP Engineer

Global Experience Machine Learning & NLP Engineer

AdobeSan Jose, CA, United States
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Global Experience Machine Learning & NLP Engineer

Join to apply for the Global Experience Machine Learning & NLP Engineer role at Adobe

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re 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 AI. 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. 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 (including 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 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.
  • Compensation and notices

    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, 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. Massachusetts – Massachusetts Legal Notice. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment. 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 characteristics. If you require accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.

    Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Engineering and Information Technology
  • Industries : Advertising Services, IT Services and IT Consulting, and Software Development
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