Advancing Adobe's globalization and content engineering platforms by harnessing the potential of AI technologies, specifically focusing on Machine Translation quality, localization and authoring workflows, GenAI features for global audiences, and multilingual AI features.
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
- 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.
- Effective cross-cultural communication and collaboration.
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Natural Language Processing, or a related field.