Wayfair is seeking to transform complex customer service challenges into scalable, AI-driven tools that boost agent efficiency and elevate customer satisfaction.
Requirements
- Deep understanding of data engineering concepts with experience in building scalable data pipelines
- Professional coding expertise in languages like Python and R, proficiency in SQL
- Experience with data visualization tools and ML frameworks (TensorFlow, PyTorch)
- Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques
- Solid understanding of natural language processing methods and traditional machine learning techniques
- Experience with agentic AI systems and LLMOps principles for model lifecycle management, performance evaluation, and automated testing
- Experience with containerization, and version control best practices
Responsibilities
- Research and experiment with state-of-the-art generative AI techniques and algorithms
- Develop and deploy machine learning models in production
- Contribute to architectural and code review discussions to enhance the engineering ecosystem
- Develop, fine-tune, and implement GenAI models to improve customer service interactions
- Apply advanced prompt engineering and domain-specific fine-tuning to boost AI model response relevance and performance
- Develop key success metrics and build evaluation frameworks to regularly assess model output quality
- Stay current with the latest research in GenAI, transformer architectures, and agentic AI
Other
- Master’s in Computer Science, Data Science, Machine Learning, or a related quantitative field with 2+ years of industry experience or PhD with 0-1 years of experience
- Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders
- Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment
- Ability to work effectively across cross-functional teams
- Time Off: Paid Holidays, Paid Time Off (PTO)
- Health & Wellness: Full Health Benefits, Life Insurance, Disability Protection
- Financial Growth & Security: 401K Matching, Tuition Reimbursement
- Family Support: Family Planning Support, Parental Leave, Global Surrogacy & Adoption Policy
