Senior Data Scientist

August 9

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⏰ Full Time

🟠 Senior

📊 Data Scientist

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PLUM Commercial Real Estate Lending

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Finance • Real Estate • B2B

PLUM Commercial Real Estate Lending is a finance company specializing in commercial real estate loans for high-quality borrowers, offering a range of lending options from $1 million to over $100 million. The firm focuses on providing tailored lending solutions across various property types, including retail and self-storage. With an experienced team led by industry veterans, PLUM is committed to optimizing financing strategies for its clients in the commercial real estate sector.

11 - 50 employees

Founded 2015

💸 Finance

🏠 Real Estate

🤝 B2B

📋 Description

•PLUM is a fintech company empowering financial institutions to grow their business through a cutting-edge suite of AI-driven software, purpose-built for lenders and their partners across the financial ecosystem. •This is a fully remote position, open to candidates anywhere in the U.S. with a reliable internet connection. •While we gather in person a few times a year, this role is designed to remain remote long-term. •You will have autonomy and flexibility in a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. •You'll collaborate with a high-performing team — including sales, marketers, and financial services experts — who stay connected through Slack, video calls, and regular team and company-wide meetings. •We’re a team that knows how to work hard, have fun, and make a meaningful impact—both together and individually. •We are looking for a Senior Data Scientist to lead the development of scalable Generative AI pipelines that process raw data and generate context-aware results to power Plum’s AI-driven products. •You will play a central role in shaping our GenAI platform, working across the full ML lifecycle—from ingestion and retrieval to generation, evaluation, and deployment. •This role combines deep expertise in machine learning with hands-on experience in building production-grade systems. •You’ll collaborate closely with various cross functional teams and operate in a fast-paced environment where innovation, autonomy, and ownership are key.

🎯 Requirements

•Master’s degree in Computer Science, Engineering, Physics, or a related technical field or equivalent work experience. •3+ years of experience developing and deploying machine learning pipelines in production. •1+ years of experience building Generative AI or LLM-based applications. •Strong programming skills in Python, with hands-on experience in ML/AI frameworks (e.g., LangChain, Transformers, LLM APIs). •Deep understanding of LLM evaluation, prompt engineering, and text generation quality metrics. •Experience designing and implementing RAG architectures. •Hands-on experience with Databricks, MLflow, or similar platforms. •Experience with cloud infrastructure (AWS preferred) and MLOps practices for deploying and maintaining models in production. •Strong problem-solving skills and ability to lead through ambiguity. •Excellent communication and documentation habits.

🏖️ Benefits

•A fast-paced, collaborative startup culture with high visibility. •Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action. •Opportunity to make a meaningful impact in building a company and culture. •Equity in a financial technology startup. •Generous health, dental, and vision coverage for employees and family members + 401K. •Eleven paid holidays and unlimited discretionary vacation days. •Competitive compensation and bonus potential.