Software Engineer, Machine Learning Platform

chime· 69 open roles

Location TBD On-siteFull-time2 weeks ago

Salary

$187,000 - $259,000

Experience

Mid

Job Type

Full-time

Posted

2 weeks ago

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About This RoleAI processing…

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 Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation. You’ll work at the intersection of distributed systems, cloud infrastructure, and applied machine learning. This role focuses

Key Responsibilities

1
Design, build, and operate scalable ML infrastructure on AWS
2
Develop distributed training and batch processing systems using Ray
3
Build and maintain infrastructure-as-code using Terraform
4
Support and evolve the feature store and feature pipelines
5
Develop data ingestion and streaming systems (e.g., Kinesis, Kafka, Flink, Spark, or similar technologies)
6
Improve CI/CD workflows for ML models and platform components
7
Enhance observability, reliability, and cost visibility across ML workloads
8
Partner closely with Data Science and ML Engineering teams to improve developer experience
9
Contribute to platform architecture decisions and technical roadmaps
10
Participate in on-call rotations to support production systems

Requirements

5+ years of experience in ML infrastructure, platform engineering, or production ML systems
Knowledge of the machine learning model development lifecycle, including data preprocessing, model training, evaluation, and deployment
Experience with distributed systems, cloud computing, or large-scale data processing
Strong foundation in computer science and software engineering principles
Deeply interested in the impact and evolution of advanced AI technologies
Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code
Experience with containerization technologies such as Docker and Kubernetes, and orchestration systems
Knowledge of cloud platforms such as AWS and distributed computing frameworks such as Spark and Ray
Experience with GPU programming(CUDA) and GPU costs/optimization
Strong programming skills in Python, Go, Scala, Java or similar languages
Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation)
Solid understanding of software engineering fundamentals (testing, version control, code review, observability)
Experience with distributed compute frameworks such as Ray
Experience building or operating a feature store
Experience with real-time ML systems or model serving
Familiarity with streaming technologies (Kafka, Kinesis, Flink, Spark Streaming, etc.)
Experience supporting ML lifecycle workflows (training, evaluation, deployment, monitoring)
Knowledge of ML experimentation platforms and model governance practices

Perks & Benefits

🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.

💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute

💰 Competitive salary based on experience

✨ 401k match plus great medical, dental, vision, life, and disability benefits

🏝 Generous vacation policy and company-wide Chime Days, bonus 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 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents

👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.

🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!

💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress