Adobe is looking to advance its globalization and content engineering platforms by leveraging AI technologies, specifically focusing on Machine Translation, NLP, NLU, and Generative AI to create world-class, globally accessible software and features for both internal partners and external customers.
Requirements
- 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).
- Familiarity with GPU-based technologies like CUDA, CuDNN, and TensorRT.
- Experience with deploying ML models in production environments and optimizing them for performance.
Responsibilities
- 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.
Other
- The U.S. pay range for this position is $102,400 -- $196,300 annually.
- Solid knowledge/experience with at least one foreign language.
- Strong collaborative and interpersonal skills.
- Self-motivated to spearhead innovative initiatives and continuously learn new skills.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field.
