Chime Financial, Inc
Senior Software Engineer, Machine Learning Platform
San Francisco, CA, USA · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$6,149 more — $193,149 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,149 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 100%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- You'll work at the intersection of distributed systems, cloud infrastructure, applied machine learning, and AI product engineering.
- 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.
Responsibilities
- We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently.
- 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 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 or AI infrastructure, platform engineering, distributed systems, or production ML systems.
- Working knowledge of LLM application patterns such as retrieval-augmented generation, structured outputs, tool calling, agent orchestration, and evaluation of non-deterministic systems.
- Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
Nice to have
- Experience shipping LLM-powered or agentic systems to production.
- Experience with one or more of the following: model gateways, prompt lifecycle management, retrieval or vector search, tool execution, and agent orchestration frameworks.
- Familiarity with managed or self-hosted foundation model infrastructure, such as Amazon Bedrock, SageMaker, or equivalent platforms.
- Experience operating GPU-based workloads and optimizing training or inference performance and cost
- CUDA experience is a plus.
- 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
- Experience designing distributed systems and large-scale data or compute platforms on AWS using frameworks such as Spark or Ray.
- Strong programming skills in Python, Go, Scala, Java, or similar languages.
Compensation
- Below is the base salary offered for this role and level of experience.
Company info
- Wage Notice $187,000 - $259,000 USD A little about us At Chime, we believe that everyone can achieve financial progress.
- From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life.
- Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.
- Chime's Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company.
This listing is sourced directly from Chime Financial, Inc's careers page and normalized into a canonical job model.