Chime Financial, Inc
Senior Software Engineer, Machine Learning Platform
San Francisco, CA, USA · Senior · Full-time
Sponsorship not specifiedDetected 5 days ago
PythonJavaGoScalaDistributed SystemsCode ReviewAWSCloud PlatformsDockerKubernetesTerraformCI/CDDevOpsPlatform EngineeringKafkaMachine LearningSparkData ScienceMLOpsA/B Testing
About the role
- You'll work at the intersection of distributed systems, cloud infrastructure, and applied machine learning.
- The base salary offered for this role and level of experience will begin at $187,000.00 and goes up to $259,000.00.
- The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Responsibilities
- We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently.
- 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
- Participate in on-call rotations to support production systems
Requirements
- To thrive in this role, you have
- 5+ years of experience in ML infrastructure, platform engineering, or production ML systems
- Experience with distributed systems, cloud computing, or large-scale data processing
- 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
Nice to have
- Experience with distributed compute frameworks such as Ray
- 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
- We created Chime-a financial technology company, not a bank*-on the premise that core banking services should be helpful, easy, and free.
- Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals.
- We're a team of problem solvers, dreamers, and builders with one shared obsession: our members.
Skills
- Deeply interested in the impact and evolution of advanced AI technologies
Compensation
- The base salary offered for this role and level of experience will begin at $187,000.00 and goes up to $259,000.00.
- The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.
Benefits
- Full-time employees are also eligible for a bonus, competitive equity package, and benefits.
- As a Machine Learning Platform Engineer, you will design and build scalable systems that support model training, feature computation, real-time inference, and experimentation.
Company info
- Chime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company.
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This listing is sourced directly from Chime Financial, Inc's careers page and normalized into a canonical job model.