Senior Software Engineer, Machine Learning Platform

The posting, as Chime wrote it

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.

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.

In this role, you can expect to

• Design, build, and operate scalable ML and AI infrastructure on AWS.
• Design and operate shared platform capabilities for LLM and agentic workloads, including model access, prompt and configuration lifecycle, retrieval, tool integration, state management, and workflow orchestration.
• Build evaluation frameworks for non-deterministic AI systems, including offline benchmarks, regression testing, online quality signals, human feedback, and failure analysis.
• Establish observability, reliability, and governance for models and agents, covering traces, model and prompt versions, tool calls, latency, token usage, quality, safety, privacy, and cost.
• Help teams make principled architecture decisions across traditional ML, LLM-powered applications, and agentic workflows, and contribute to the platform’s technical roadmap.
• Build distributed training, batch inference, and large-scale processing systems using frameworks such as Ray or Spark.
• Build and maintain infrastructure as code using Terraform.
• Support and evolve the feature store and feature pipelines.
• Develop data ingestion and streaming systems using technologies such as Kinesis, Kafka, Flink, or Spark.
• Improve CI/CD workflows for ML models, AI applications, and platform components.
• Partner closely with Data Science and ML Engineering teams to improve developer experience.
• Participate in on-call rotations to support production systems.

To thrive in this role, you have

• 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 app

[…]
ive health, financial, and wellbeing benefits designed to support you at every stage of life.

• 🏝 Generous vacation policy and company-wide paid days off
• 🫂 1% of your time off to support local community organizations of your choice
• 👟 Annual wellness stipend to use towards eligible wellness related expenses
• 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• 👪 Access to family planning reimbursement
• 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com .

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .