Backed by SoftBank VF, ICONIQ and Menlo.
About the role
Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently.
What they're looking for
- Knowledge of the machine learning development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring
- Experience designing distributed systems and large-scale data or compute platforms on AWS using frameworks such as Spark or Ray
- 5+ years of experience in ML or AI infrastructure, platform engineering, distributed systems, or production ML systems
- Working knowledge of LLM application patterns such as retrieval-augmented generation, structured outputs, tool calling, agent orchestration, and evaluation of non-deterministic systems
- Experience designing production systems that integrate ML or foundation models through reliable APIs, workflows, and data contracts
- Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code
More about this role
Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently.
As a Senior Software Engineer on the Machine Learning Platform team, you will design and build scalable systems spanning traditional machine learning and emerging AI workloads, including model training, feature computation, real-time inference, foundation-model access, evaluation, and agentic orchestration. You’ll work at the intersection of distributed systems, cloud infrastructure, applied machine learning, and AI product engineering.
This role focuses on creating secure, reliable, and reusable platform capabilities that help teams choose the right approach, from conventional predictive models to LLM-powered and multi-step agentic systems, while maintaining strong standards for evaluation, observability, governance, privacy, and cost efficiency.
The base salary offered for this role and level of experience will begin at $187,000.00 and up to $259,000.00. Full-time employees are also eligible for a...
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