Wealth.com is looking to solve estate planning problems in the financial tech sector by applying the latest advancements in Large Language Models (LLM), Computer Vision (CV) and Natural Language Processing (NLP)
Requirements
- Experience building sophisticated RAG pipelines with LLMs (with frameworks like LangChain, LlamaIndex, Hamilton, etc.)
- Experience working on deep learning architectures specifically with Natural language-based models (Pytorch/Tensorflow), vector databases and graph databases
- Experience developing applications using prompt engineering, fine tuning, Google Vertex AI APIs, Azure Open AI APIs or equivalent
- 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
- 2+ years experience writing production code as well as deploying and maintaining shipped AI/ML models over time
- 2+ years experience conducting research as part of a research program (in academic or industry settings) in areas of machine learning, deep learning, NLP, data mining, information retrieval
- 3+ years of experience in Python
Responsibilities
- Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/Claude/Llama/MistralAI models into production systems
- Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences
- Design and implement scalable, efficient and highly precise Q&A RAG frameworks
- Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks
- Collaborate with other product managers and engineers in the team to build tools to evaluate and improve the end-to-end AI quality of our production systems
- Effectively communicate and demonstrate work to stakeholders
Other
- Bachelor's, Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research)
- Fully remote, flexible work environment
- Full medical and dental benefits
- Unlimited PTO in an environment where taking time off to relax or recharge is supported and encouraged
- Paid Parental Leave
