Yum Crave AI is seeking to lead and scale a hybrid team of Data Scientists and AI Engineers to oversee workstreams that span forecasting, personalization, experimentation, and intelligent agent development using both structured data and foundation models (LLMs, VLMs, etc.)
Requirements
- 8+ years of experience in Data Science, Machine Learning, or AI Engineering
- Hands-on expertise in both traditional ML (regression, classification, forecasting) and modern AI techniques (LLMs, RAG, embeddings, multimodal models)
- Experience building or scaling hybrid DS+AI teams in enterprise environments
- Familiarity with LangChain, HuggingFace, OpenAI, Pinecone, or vector-based ML architectures
- Exposure to business domains such as QSR, retail, personalization, or intelligent automation
Responsibilities
- Lead and mentor a team of Data Scientists and AI Engineers across multiple domains and products
- Provide technical and career development guidance; foster a collaborative, high-trust culture
- Drive standards for experimentation, evaluation, reproducibility, and model performance
- Shape end-to-end ML and AI strategy across core DS use cases (forecasting, pricing, recommendation) and emerging LLM/VLM applications
- Guide architectural choices around model selection, evaluation design, and deployment workflows
- Provide oversight on LLM fine-tuning, prompt design, ASR/embedding adaptation, and production readiness
- Act as a key interface between technical contributors and business/product stakeholders
Other
- Strong communication skills with the ability to influence senior leadership and simplify complex topics
- Ability to coach teams, collaborate cross-functionally, and communicate complex ideas clearly to technical and executive audiences
- 4 weeks’ vacation PLUS holidays, sick leave and 2 paid days to volunteer at the cause of their choice
- Generous parental leave
- Competitive benefits including medical, dental, vision and life insurance as well as a 6% 401k match
