Senior Applied Scientist- AI/ML

Summary

Join Wealth.com, a leading estate planning platform, as an Applied Scientist and contribute to our cutting-edge AI initiatives. You will collaborate with a team of engineers and scientists to build complex legal AI agents using LLMs, NLP, and CV. Responsibilities include fine-tuning LLMs, training NLP/CV models, designing Q&A RAG frameworks, building ETL pipelines, and collaborating on AI quality improvement tools. The ideal candidate possesses a strong background in deep learning, experience with RAG pipelines and LLMs, and proficiency in Python. Wealth.com offers a collaborative and supportive work environment, and this role offers a competitive salary.

Requirements

• Bachelor's, Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research)
• 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

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
• Lead projects from end to end, take full ownership, and make key decisions about architecture, modeling approaches, and tools
• Align technical work with business goals and communicate the impact of machine learning models in terms of business outcomes

Preferred Qualifications

• Bachelor’s degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research) AND 7+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s/PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research) AND 5+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience
• 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers)
• 3+ 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
• 5+ years of experience in Python

Benefits

$180,000 - $215,000 a year