Senior ML Platform Engineer - Scale ML Infra & Pipelines

Menlo Ventures; San Francisco (CA); Hybrid; USD 187,000 - 259,000; Full time

Benefits offered by this job

4 days in office per week

Fridays from home

Medical, dental, vision benefits

401k match

Generous vacation and paid days off

Parental leave

Job summary

Chime’s Machine Learning Platform (MLP) team builds the infrastructure, tooling, and developer experience that powers machine learning across the company. You will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation, enabling data scientists and ML engineers to move quickly with reliability and cost awareness.

This role focuses on building robust foundations that allow ML teams to move quickly while maintaining governance

Qualifications

• 5+ years of experience in ML infrastructure, platform engineering, or production ML systems.
• Knowledge of the ML model development lifecycle including data preprocessing, training, evaluation and deployment.
• Experience with distributed systems, cloud computing, or large-scale data processing.
• Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code.

Responsibilities

• Design, build, and operate scalable ML infrastructure on AWS.
• Develop distributed training and batch processing systems using Ray.
• Build and maintain infrastructure-as-code using Terraform.
• Support and evolve the feature store and feature pipelines.
• Develop data ingestion and streaming systems (e.g., Kinesis, Kafka, Flink, Spark).
• Improve CI/CD workflows for ML models and platform components.
• Enhance observability, reliability, and cost visibility across ML workloads.
• Partner with Data Science and ML Engineering teams to improve developer experience.
• Contribute to platform architecture decisions and technical roadmaps.
• Participate in on-call rotations to support production systems.

Skills

Python

CI/CD

Distributed systems

Software engineering fundamentals

DevOps

Tools

Docker

Kubernetes

Terraform

Spark

Ray

AWS

Job description

Chime’s Machine Learning Platform (MLP) team builds the infrastructure, tooling, and developer experience that powers machine learning across the company. You will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation, enabling data scientists and ML engineers to move quickly with reliability and cost awareness.

This role focuses on building robust foundations that allow ML teams to move quickly while maintaining governance