Applied Scientist
Listed on 2026-07-14
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IT/Tech
Machine Learning/ ML Engineer, Data Scientist, AI Engineer (Applied/Software), AI Business & Operations
As an Applied Scientist on our Global Insights and Analytics team, you will play a key role in researching and developing cutting edge machine learning and artificial intelligence applications that enable sales and marketing teams to empower financial advisors with relevant investment solutions. You will be developing cutting edge AI applications, including: conversational AI driven chatbots, recommender systems, time series models, and optimization algorithms.
These applications will contribute to engaging and guiding clients by delivering personalized investment content and products, predicting client’s next best action, and determining where and when to target clients.
You will conduct research and experimentation to identify and implement state-of-the-art methodologies in large language modeling and analyze patterns from thousands of behavioral characteristics of financial advisors and investors, market news and economic data, to personalize investment outcomes. You develop Neural Network based frameworks to solve a defined problem, by thoroughly understanding model diagnostics, focusing on ML engineering aspects to deploy scalable solution and summarize model results for business stakeholders.
You will collaborate with cross-functional teams to gather requirements, define framework, and ensure successful implementation of different applications.
Southern California Base Salary Range: $166,551-$266,482
- You have an MS in (PhD preferred) Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
- You have a minimum of 3+ years (post MS)/ 1+ years (post PhD) of relevant work experience, including industry experience or as a Researcher in a lab.
- You are experienced contributing to research communities- publishing papers/blog articles related to machine learning.
- You have experience in Natural Language Processing, Data Mining, Deep Neural Networks, Computer Vision. Experience with Optimization algorithms is a plus.
- You have expertise in major programming languages (C++, Java, or similar), scripting languages (Python, or similar), and Deep Learning Framework.
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