Engineering Manager, Chime
Machine Learning Platform
$176.5-245.1k
+ Bonus + Equity Package
4+ days a week in office
Mobile banking for the everyday person
Open for applications
Mobile banking for the everyday person
1001+ employees
Open for applications
$176.5-245.1k
+ 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
- Expertise in designing and scaling ML platforms for large-scale AI applications
- Deep experience with ML infrastructure components, such as distributed training, model registries, feature stores, and inference serving
- Hands-on knowledge of ML and data technologies, including TensorFlow, PyTorch, Kubeflow, MLflow, Airflow, Spark, and Kubernetes
- Proficiency in cloud-based ML ecosystems, including AWS (SageMaker, S3, Lambda), GCP (Vertex AI, BigQuery), or Azure ML
- Strong software engineering skills, with experience in Python, Java, or Scala and deep knowledge of ML Ops best practices
- Experience implementing monitoring and observability tools for model drift detection, automated retraining, and performance tracking
- Leadership experience, with a track record of managing engineering teams and collaborating with data scientists
What the job involves
- As a Machine Learning (ML) Platform Manager, you will drive the evolution of our ML infrastructure, ensuring that our teams have the tools and frameworks needed to build, deploy, and scale AI-driven solutions efficiently
- This role is about more than just managing ML systems—it's about shaping the future of how machine learning fuels business impact
- You will work closely with ML engineers, data scientists, and software teams to develop a robust, scalable, and high-performance ML platform that powers cutting-edge applications
- You’ll be responsible for building the foundation that enables experimentation, model training, real-time inference, and ML lifecycle management at scale
- Design and implement a scalable ML platform, enabling seamless model development, deployment, and monitoring across the organization
- Optimize ML workflows, ensuring efficient experimentation, feature engineering, model training, and inference at scale
- Build and maintain ML infrastructure, including distributed training systems, feature stores, model registries, and real-time serving frameworks
- Work closely with ML engineers and data scientists, providing a self-service platform that accelerates research and deployment cycles
- Ensure compliance and governance, defining best practices for ML model security, monitoring, versioning, and responsible AI practices
- Improve ML model performance, enabling efficient inference pipelines, real-time model serving, and latency optimization
- Lead and mentor a team of ML platform engineers, fostering a culture of innovation and technical excellence
- Stay ahead of ML infrastructure trends, evaluating and adopting emerging technologies to improve scalability and performance
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.
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