Senior Software Engineer, Chime
Machine Learning Platform
$175.1-218.9k
+ Bonus + Equity Package
4+ days a week in office
Mobile banking for the everyday person
Job no longer available
Mobile banking for the everyday person
1001+ employees
Job no longer available
$175.1-218.9k
+ Bonus + Equity Package
4+ days a week in office
1001+ employees
Company mission
To make financial peace of mind a reality for millions of everyday people.
Role
Who you are
- 5+ years of experience building large-scale distributed systems, ideally in the ML domain, with exposure to AI tooling and workflows
- A deep understanding of ML development workflows, and hands-on experience addressing challenges in shipping and maintaining models and AI systems in production
- 3+ years of experience with platform technologies like Kubernetes, Airflow, MLflow, or similar orchestration tools in a modern cloud environment (e.g., AWS, GCP)
- Expertise in Python (preferred), strong SQL skills, and familiarity with model training libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, or LLM frameworks like Hugging Face Transformers
- Experience with streaming and batch data processing technologies (e.g., Spark, Flink, Kafka), and how they support both ML and AI pipelines
- A strong grasp of API design and platform abstraction, especially in tools aimed at internal ML/AI developers and data scientists
- A track record of cross-functional collaboration and ownership, partnering across Data Science, Engineering, and Product to drive platform adoption and long-term impact
- Bonus: Familiarity with AI-specific infrastructure challenges, such as LLM inference, vector databases, embeddings, or prompt orchestration
What the job involves
- We’re looking for a Senior Software Engineer to help us scale our platform, improve ML and AI developer velocity, and ensure reliability, observability, and compliance across the entire stack
- Build scalable and reliable infrastructure to support end-to-end ML and AI workflows—including data preprocessing, model training, evaluation, deployment, and real-time inference
- Design and maintain self-serve tools and APIs that empower Data ScienceI teams to productionize models, including classical models and large language models (LLMs), with minimal infrastructure friction
- Partner with Data Science, Product Engineering, Risk, and Analytics to understand their ML/AI use cases and deliver platform capabilities that accelerate experimentation and deployment
- Implement robust monitoring and observability systems for model health, data drift, performance degradation, and compliance across ML and AI workloads in production
- Contribute to model governance and lifecycle management, including versioning, promotion workflows, release policies, and automated deprecation across training, staging, and deployment
- Define and advocate for best practices in ML/AI system design, model reproducibility, lineage tracking, and responsible AI usage
- Mentor and guide engineers on designing platform abstractions, writing clean, maintainable code, and building systems that scale with growing ML/AI adoption across the company
Our take
Chime is part of the growing realm of fintech banks and providers, emphasizing straightforward, cost-effective banking solutions. It cuts the expenses tied to basic bank accounts and provides users with greater autonomy in managing their finances.
In contrast to many traditional banks that levy steep fees and hefty penalties for overdrafts while offering meager interest rates on savings, Chime addresses a crucial gap in the banking sector. Its primary focus is on catering to individuals with modest savings who seek the convenience of automated digital banking.
With a remarkable ascent in its trajectory, Chime's current valuation stands at $25.5B, a staggering $23.5B surge from its early 2019 valuation, underscoring its impressive and swift expansion. However, competition remains fierce, with other neobanks like Ally offering similar features and vying for the same customer base.
Freddie
Company Specialist at Welcome to the Jungle
Insights
0% employee growth in 12 months
Company
Funding (last 2 of 9 rounds)
Aug 2021
$750m
SERIES G
Sep 2020
$485m
SERIES F
Total funding: $2.0bn
Company benefits
- Physical: We believe in taking care of your physical health, so as a Chimer you’ll get medical, dental, and vision insurance, as well as benefits to support your physical activity, family planning, and all of your little Chimers
- Emotional: We know that staying healthy involves a lot more than doctor’s checkups. We partner with Modern Health to help you navigate your mental health, give monthly Take Care of Yourself Days, and want you to take time off when you need it
- Financial: We want Chimers to save and feel financially supported, so we offer savings plans with competitive matching, as well as access to financial planning and legal assistance so that you can find your financial peace of mind
- Social: We’ll celebrate your milestones together with travel stipends, swag, and high-fives and make sure you’re connected to fellow Chimers through our Chime Resource Groups (CRGs) and company events
Company HQ
Nob Hill, San Francisco, CA
Leadership
Chris Britt
(Co-Founder & CEO)Chris worked as an Accenture Management Consultant for 4 years before roles at CMGI, Comscore Networks, and Visa. They left their position as an SVP of Corporate Development at Green Dot Corporation to co-found Chime in November 2012.
Ryan King
(Co-Founder)Ryan worked at Plaxo for 8 years, first as Lead Engineer and then working their way up to VP of Engineering & COO. They went on to be CTO & Vice President at Comcast Silicon Valley Innovation Centre before co-founding Chime.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 31 more jobs at Chime