ML Engineer

FICO•San Diego, CA

23h•Hybrid

About The Position

In this role, you will be a member of a highly talented team of engineers and scientists enabling advanced predictive models deployed into cloud-based real-time transaction processing systems. You will be a contributor to FICO products and strategic initiatives that involve analytic innovation with a strong focus on building, testing, and deploying advanced analytics for the FICO Platform. You will have the opportunity to build industry leading solutions and stay at the forefront of modern AI and ML technologies.

Requirements

M.S. or Ph.D. degree in computer science, engineering, physics, or a related technical field
Industry experience with a proven success record in analytic software, data engineering, or machine learning; experience working with cloud-based and distributed architectures, large real-world datasets, and production software or analytics.
Strong competency in two or more programming languages such as C, C++, Java, or Python; experience working with distributed computing platforms and frameworks, SQL and no-SQL databases.
Strong knowledge of computer science fundamentals, software design principles, and best practices such as agile development, unit testing, version control, and continuous integration.
Experience working in Linux environment and working proficiency with Linux scripting languages.
Experience building predictive analytic models and data analysis; working knowledge of machine learning fundamentals, mathematics, statistics, and algorithms.
Strong problem-solving and communication skills, with the ability to mentor engineers, influence technical direction, and collaborate across disciplines.

Nice To Haves

Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration using Docker and Kubernetes.
Experience with testing frameworks, A/B testing, performance optimization, and production monitoring and observability practices (e.g., Prometheus, Grafana, Datadog, OpenTelemetry).
Familiarity with AI governance practices: model explainability, prompt versioning, evaluation logging, and audit-readiness in regulated environments.
Background in fintech, financial services, insurance, or other regulated domains where model accountability and compliance are paramount.

Responsibilities

Contribute to the requirements and development of advanced distributed ML architectures, pipelines, tools, infrastructure, and algorithms that scale up to support both production execution and development of real-time predictive analytics on large volumes of high-throughput transactional data.
Integrate and evaluate advanced ML technologies, platforms and frameworks.
Balance performance and cost constraints.
Establish strong processes, quality controls, and ethical standards for PII and IP protection, analytic development, and product delivery.
Interact and collaborate with cross functional teams (Software Development, QA, Professional Services, IT, Product Management, Sales, and Product Support), drive and influence analytic and software designs decisions to ensure successful integration of analytic models into FICO Platform.
Mentor junior engineers and scientists.
Travel and work outside of normal business hours as business dictates.