Machine Learning and NLP Engineer

Job Description Summary In this Machine Learning & NLP engineering role, you will actively participate in developing GenAI services related to areas such as localization, machine translation, knowledge management, voice and video. You will harness foundational models and develop your own AI models and pipelines. You have experience in building agentic solutions and deploying them to production. The Opportunity The Global Experience Team at Adobe is actively seeking a versatile 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 Build AI shared services that bring value to both internal collaborators and external customers. 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. Assess and improve Machine Translation quality through standard industry metrics. 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, or equivalent experience. 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. Join us at Adobe and contribute to our world-class team, working collaboratively across our global offices in San Jose, CA, United States, India, and Europe. This is an exceptional opportunity for a recent college graduate or junior engineer to kickstart their career at Adobe. About Adobe Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platf ... (truncated, view full listing at source)