Chime
Senior Software Engineer, Machine Learning Platform
$187K–$259K
San Francisco, CA, USA +1 · Senior · Full-time · Posted Sep 11, 2026
- Location
- San Francisco, CA, USA
San Francisco, California, United States - Experience
- 5+ years in ML or AI infrastructure, platform engineering, distributed systems, or production ML systems.
About the job
Build and operate scalable machine learning and AI platform infrastructure that enables teams to develop, train, deploy, evaluate, and monitor models and agentic systems.
What you'll do
- Design and operate AWS-based ML/AI infrastructure and shared capabilities for LLM and agentic workloads.
- Build evaluation, observability, reliability, and governance systems for models and agents.
- Develop distributed training, data-processing, feature, streaming, and CI/CD infrastructure; partner with ML teams and participate in on-call rotations.
What they ask for
- Knowledge of the machine learning development lifecycle.
- Experience designing distributed systems or large-scale data or compute platforms on AWS using frameworks such as Spark or Ray.
- Working knowledge of LLM application patterns and production systems integrating ML or foundation models.
- Hands-on CI/CD, DevOps, and infrastructure-as-code experience; containerization and orchestration experience; strong programming skills in Python, Go, Scala, Java, or similar.
Nice to have
- Experience shipping LLM-powered or agentic systems to production.
- Experience with AI evaluation, tracing, observability, model gateways, retrieval, agent orchestration, foundation-model infrastructure, or GPU workloads.
Pay
$187,000 — $259,000 USD (base salary)
Tools
AWS, Ray, Spark, Terraform, Kinesis, Kafka, Flink, Kubernetes
AI focus
Build platform infrastructure for traditional ML, LLM and agentic workloads, including model access, retrieval, orchestration, evaluation, observability, governance, and cost efficiency.
Model-written summary · the original posting is authoritative