46 applicants

Company

FICO · 8 hours ago

Staff AI Engineer (Remote)

United States

Full-time

Remote

Senior Level

$161K/yr - $253K/yr

5+ years exp

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Responsibilities

Design and implement cutting-edge LLM-powered solutions for decision automation, fraud investigation, and process automation within FICO’s platform.

Develop sophisticated prompting strategies and Retrieval-Augmented Generation (RAG) architectures tailored to high-stakes applications.

Apply advanced fine-tuning, in-context learning techniques, and custom evaluation frameworks to optimize AI model performance.

Build robust model evaluation and governance systems, ensuring compliance and reliability across applications.

Design and execute comprehensive backtesting methodologies to validate model predictions and performance.

Implement A/B testing frameworks to evaluate the impact of various AI interventions on system performance.

Monitor model performance and detect drift to maintain high accuracy and relevance over time.

Research and integrate the latest AI techniques to keep FICO’s platform at the forefront of innovation.

Evaluate new models, architectures, and training approaches, experimenting with emerging technologies to enhance platform capabilities.

Develop custom RAG implementations to enhance information retrieval within decision processes.

Write production-quality code, implementing machine learning systems with attention to scalability, reliability, and security.

Design scalable architectures that support FICO’s analytics and decisioning solutions.

Implement advanced monitoring techniques and system reliability checks to maintain operational excellence.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonPyTorchLarge Language ModelsRetrieval-Augmented GenerationModel monitoringMachine learning evaluationPrompt engineeringScalable architecturesGoJavaJAXA/B testingDrift detectionBacktesting methodologiesCompliance knowledgePatentsOpen-source contributionsMentoring

Required

5+ years of industry experience in software, ML or data engineering, with a history of managing complex, large-scale projects and driving strategic technical decisions.

Proficiency in Python, Go, Java, or similar languages.

Experience with PyTorch, JAX or similar deep learning frameworks.

Proficiency in fine-tuning, model adaptation, and customization.

Solid foundation in machine learning evaluation and testing methodologies, including the development of custom evaluation frameworks.

Knowledge of backtesting methodologies to ensure reliability and robustness of model predictions.

Strong software engineering fundamentals, with experience in writing production-quality code and designing scalable architectures.

Proven ability to mentor teams and collaborate across departments to deliver high-impact solutions.

Experience in fast-paced environments, with an ability to adapt and drive impact in high-growth, high-stakes settings.

Bachelor's or master's degree in computer science, or a related field with focus in Machine Learning.

Preferred

Proven expertise in applying modern Large Language Models (LLMs) and their applications to real-world problems.

Strong skills in prompt engineering and chain-of-thought prompting techniques.

Experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases.

Experience with A/B testing frameworks.

Expertise in model monitoring, drift detection, and governance to maintain compliance and operational integrity.

Familiarity with compliance and regulatory technology, particularly in AI-driven decisioning environments.

Publications, patents, or open-source contributions that showcase thought leadership and technical expertise in AI and machine learning.

Benefits

An Inclusive Culture

Growth and Development

Competitive Compensation and Benefits

Work-Life Balance and Community

Company

FICO

Glassdoor

4.0

Fair Isaac Corporation enables businesses to automate, improve, and connect decisions to enhance business performance. It is a sub-organization of FICO.

Founded in 1956

San Jose, California, USA

1,001-5,000 employees

http://www.fico.com

H1B Sponsorship

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Trends of Total Sponsorships

2023 (14)

2022 (25)

2021 (42)

2020 (41)