Senior Data Scientist

Job not on LinkedIn

🔥 7 minutes ago

🇺🇸 United States – Remote

💵 $132k - $198k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Figure

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💸 Finance

💳 Fintech

🏦 Banking

Finance • Fintech • Banking

Figure is transforming the trillion-dollar financial services industry using blockchain technology. Founded in 2018 by technology entrepreneur Mike Cagney, Figure has established itself as a groundbreaking player in the fintech space with a focus on home equity products, consumer lending, and asset management. Leveraging the Provenance Blockchain, Figure delivers innovative solutions for loan origination, equity management, and financial transactions, aiming to provide speed, efficiency, and savings for both consumers and institutions. It stands out as one of the few unicorns in the financial technology sector.

📋 Description

• Identify high-impact opportunities for machine learning and AI with product, engineering, operations, and business teams • Design, train, fine-tune, and evaluate machine learning and deep-learning models • Work with foundation models across language, vision, and multimodal applications • Develop robust datasets, features, training pipelines, and evaluation frameworks • Run experiments on GPU infrastructure and improve model quality, speed, and cost • Compare modeling approaches and recommend solutions based on empirical results and business impact • Build reusable modeling components, evaluation frameworks, and implementation patterns across teams and projects • Establish interfaces and standards for adopting proven AI capabilities • Build reproducible, testable models and supporting production systems • Partner with ML and software engineers on deployment, monitoring, reliability, and model improvement • Communicate results, limitations, and tradeoffs to technical and non-technical stakeholders • Evaluate emerging machine-learning techniques for practical value • Translate ambiguous business needs into defined machine-learning problems and measurable success criteria • Build models that improve customer or operational outcomes • Balance model quality, complexity, latency, reliability, and cost • Create reusable foundations for multiple teams • Help raise technical standards for experimentation, evaluation, and production AI

🎯 Requirements

• Bachelor’s or advanced degree in Computer Science, Machine Learning, Electrical Engineering, Applied Mathematics, or a related technical field, or equivalent practical experience • 5+ years of experience developing machine learning solutions, including experience taking models beyond initial experimentation • Strong programming and software-engineering skills, particularly in Python • Strong foundations in machine learning, statistics, algorithms, data structures, and experimental design • Hands-on experience with deep-learning frameworks such as PyTorch or TensorFlow • Experience training or fine-tuning transformer-based, vision, or multimodal models • Experience working with GPUs and understanding the practical constraints of model training and inference • Ability to work with large, complex, and imperfect datasets • Demonstrated ability to own open-ended problems from initial investigation through implementation and measurement • Demonstrated ability to generalize successful solutions into reusable capabilities rather than one-off models • Strong communication and cross-functional collaboration skills • Adhere to all company security policies and data handling procedures • Complete mandatory security awareness training within required timeframes • Promptly report any suspected security incidents or suspicious activity to the Security team • Figure will not sponsor work visas for this position • Must verify identity and eligibility to work in the United States • Master’s degree or PhD in Computer Science, Machine Learning, or a related field (preferred) • Experience with distributed training, model optimization, quantization, or parameter-efficient fine-tuning (preferred) • Experience deploying and monitoring machine learning models in production (preferred) • Familiarity with cloud infrastructure, distributed data processing, and modern ML development platforms (preferred) • Experience building AI systems in regulated, risk-sensitive, or high-stakes environments (preferred) • Contributions to applied research, open-source projects, patents, or production AI products (preferred)

🏖️ Benefits

• 25% annual bonus target, paid quarterly • Company equity in the form of RSUs • Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans • Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits • Employer-paid life and disability insurance • 11 observed holidays and PTO plan • Up to 12 weeks of paid family leave • Continuing education reimbursement

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