Top Senior Level Fintech Machine Learning Engineer Jobs in Chicago, IL

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.

Manage a team to assess model risks, build and validate machine learning models while leveraging advanced technologies and cross-functional collaboration.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.

Lead end-to-end data science projects: build, deploy, and monitor ML models (credit risk, pricing, collections, fraud). Partner cross-functionally, productionize pipelines, write production-grade code, and communicate results to technical and non-technical stakeholders.

The Senior Machine Learning Platform Engineer will build foundational components for ML models, mentor junior engineers, and optimize streaming pipelines. Responsibilities include enhancing ML infrastructure and ensuring data quality.

As a Senior Staff Machine Learning Engineer at Affirm, you will lead complex ML system design and implementation, mentor engineers, and drive innovative ML strategies for financial services.

As a Staff AI Software Engineer, you'll develop and optimize scalable AI applications, manage deployment pipelines, and collaborate with cross-functional teams to drive innovative solutions.

Lead the development of statistical and machine learning solutions for actuarial pricing and reserving, collaborating with various stakeholders and managing model lifecycles.

Develop and optimize machine learning models for fraud detection. Collaborate on model deployment and conduct experiments, ensuring data quality and driving innovation in digital trust.

Lead a team to develop machine learning models for credit strategies, collaborating across functions and delivering measurable business outcomes.