Join Adobe as a Globalization AI/ML/NLP Engineer

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, transforming how companies interact with customers across every screen.

Our Mission

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences. Adobe values respect and equal opportunity for all. We know that new ideas can come from anywhere within the organization, and the next big idea could be yours!

The Opportunity

The Globalization Team at Adobe is actively seeking a talented Globalization Engineer with 2-3 years of experience in Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML). In this role, you'll advance the internationalization (i18n) and localization (l10n) efforts of Adobe Experience Cloud products by leveraging AI technologies. You'll also be involved in incorporating Generative AI features in Adobe’s localization workflows. We need someone who has a passion for different languages and cultures and the technical expertise to create globally accessible software. You'll be an integral part of a geographically distributed team spanning the United States, India, and Europe, requiring effective cross-cultural communication and collaboration.

What You’ll Do

• Conduct research in AI/LLM/NLP to develop innovative GenAI features for Adobe's international customers.
• Partner with Adobe DX teams to design, develop, and deploy GenAI features for global audiences.
• Design, implement, and optimize software systems for integrating Generative AI features in localization workflows.
• Conduct experiments to improve multilingual support in LLM-based product features.
• Optimize prompts and responses to enhance the effectiveness of LLM-generated content in non-English contexts.
• Assess and improve Machine Translation quality using standard industry metrics.
• Contribute to both the research and productization of ML models, ensuring robust and scalable implementations.

What You Need to Succeed

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Natural Language Processing, or related field.
• Excellent programming skills in Python, with strong fundamentals in programming, optimizations, and software design.
• Solid understanding of ML/DL techniques, algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers (BERT, BARD, GPT/T5, LLMs).
• Hands-on experience with conversational AI technologies like Natural Language Understanding, Natural Language Generation, Dialog systems, Information Retrieval, and Question Answering, Machine Translation, Video Understanding, etc.
• Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Keras.
• Experience in conducting ML research and applying research outcomes to real-world applications.
• Strong collaborative and interpersonal skills.
• Self-motivated to drive new 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.

Compensation

Our compensation reflects the cost of labor across several U.S. geographic markets. The U.S. pay range for this position is $92,100 -- $166,200 annually. Actual pay within this range will depend on work location, job-related knowledge, skills, and experience. Your recruiter can provide more details about the specific salary range for your 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 have starting salaries expressed as base salary, and short-term incentives are in the form of the Annual Incentive Plan (AIP). Additionally, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Equal Employment Opportunity