Machine Learning and NLP Engineer at Adobe in San Jose

Summary: Adobe is a leading company that empowers creativity through innovative platforms and tools. They are seeking a Machine Learning and NLP Engineer to develop GenAI services and advance globalization and content engineering platforms using AI technologies. Responsibilities: - 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Machine Learning, Natural Language Processing, Python Important Skills: Deep Learning, Conversational AI, ML frameworks, Vector databases Nice-to-Have Skills: Cross-cultural communication, Foreign language proficiency, Self-motivated Benefits: Comprehensive benefits programs, Long-term incentives in the form of a new hire equity award