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The Senior Applied Scientist will develop and integrate advanced AI/ML models for estate planning, leading projects and collaborating with teams on complex data processes and applications.
Top Skills:
Azure Open AiClaudeGeminiGoogle Vertex AiHamiltonLangchainLlamaLlamaindexMistralaiOpenaiPyTorchTensorFlow
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Wealth.com is the industry’s leading estate planning platform, empowering financial advisors to offer modern, comprehensive estate planning solutions to their clients. By combining cutting-edge technology, AI, and unmatched human expertise, we deliver a seamless experience that sets us apart. Beyond having one of the most coveted domain names in FinTech, wealth.com is a dynamic, revenue-generating startup experiencing rapid yet sustainable growth.
A key reason behind our position as the #1 estate planning platform is our team. Our people thrive in a collaborative, supportive culture that fosters innovation and makes wealth.com a place where everyone truly enjoys working. Wealth.com is certified as a Great Place to Work for 2024 and named a 2024 finalist for Fast Company’s Best Workplaces for Innovators!
We are looking for passionate individuals seeking to apply the latest advancements in Large Language Models (LLM), Computer Vision (CV) and Natural Language Processing (NLP) in the legal & financial tech sector.
Applied Scientists will work collaboratively with Software Engineers and other Applied Scientists to pursue a broad range of AI initiatives. By using a combination of various state-of-the-art natural language and vision models, Applied Scientists will help build complex legal AI agents.
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 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.
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 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
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!
Wealth is an equal opportunity employer and encourages people from all backgrounds to apply. Should you have a disability or special need that requires accommodation, please let us know.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
