Applied Scientist - AI/ML

The Applied Scientist will:

• 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 QA 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

Qualifications:

• 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.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research) AND 3+ 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 1+ 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)
• 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

Why you'll love working for wealth.com

• Competitive Salary.
• Fully remote, flexible work environment. We do however meet together in person several times a year.
• 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.
• Company equity managed through Carta.
• 401k with Match and 100% vesting upon hire.
• Free estate planning!