Engineering Manager, Machine Learning Platform

Chime; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a Machine Learning Platform Manager to drive the evolution of its ML infrastructure. You will collaborate with ML engineers and data scientists to develop a robust platform that powers innovative applications. This role focuses on building scalable solutions for model training, deployment, and monitoring, ensuring compliance and governance. Join a dynamic team that values creativity and technical excellence, where your contributions will significantly impact the future of AI-driven solutions. If you're passionate about shaping the future of machine learning, this is the perfect opportunity for you.

Benefits

Hybrid work policy

Subsidized commuter benefit

401k match

Medical, dental, vision benefits

Generous vacation policy

Annual wellness stipend

Paid parental leave

Family planning tool access

In-person and virtual events

Challenging opportunity in FinTech

Qualifications

• Expertise in designing and scaling ML platforms for large-scale AI applications.
• Hands-on knowledge of ML and data technologies including TensorFlow and PyTorch.
• Experience implementing monitoring tools for model drift detection.

Responsibilities

• Design and implement a scalable ML platform for model development and deployment.
• Optimize ML workflows for efficient experimentation and model training.
• Lead and mentor a team of ML platform engineers.

Skills

Machine Learning Platform Design

Distributed Training

Model Registries

Feature Stores

Inference Serving

Python

Java

Scala

ML Ops Best Practices

Leadership

Tools

TensorFlow

PyTorch

Kubeflow

MLflow

Airflow

Spark

Kubernetes

AWS

GCP

Azure ML

Job description

Engineering Manager, Machine Learning Platform

About the Role

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.

In this role, you can expect to

• 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.

To thrive in this role, you have

• 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.

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that basic banking services should be helpful, transparent, 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. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.

We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

What we offer

• A thoughtful hybrid work policy that combines in-office days and trips to team and company-wide events depending on location to ensure you stay connected to your work and teammates, whether you’re local to one of our offices or remote.
• Hybrid work perks like backup child, elder and/or pet care, as well as a subsidized commuter benefit.
• Competitive salary based on experience.
• 401k match plus great medical, dental, vision, life, and disability benefits.
• Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off.
• Annual wellness stipend to use towards eligible wellness related expenses.
• Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents.
• Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
• A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress.

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. Chime is proud to be an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance, Cook County Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation, please let us know.