Staff/Senior Staff Software Engineer, Machine Learning Platform

San Francisco, CA

Full Time Senior-level / Expert USD 217K+
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Chime

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About the Role

In this role, you’ll be a part of the Machine Learning and Data Science team that combats fraud, improves member experience, builds recommendations for users and much more. As a key technical leader to Chime’s ML platform, which includes infrastructure for building and deploying production ML models (model training, batch and transactional inference) as well as model monitoring and alerting. Your work will accelerate ML development across all ML Platform teams as we scale up and out alongside Chime’s explosive member growth.

For Colorado based roles: In accordance with applicable law, this role has an annual starting salary of $217,600 plus bonus, a competitive equity package, and benefits. The actual pay may be higher depending on your location, skills, qualifications, and experience. (Please do not delete)

In this role, you can expect to

  • Drive machine learning architecture and technical decisions to support our quality, performance, scalability, reliability, availability, and security goals.
  • Design and build technology platform for batch and real-time pipelines (data and machine learning), to enable batch transform, distributed training and low-latency transactional inference
  • Be a key contributor to long-term strategy and architecture for interoperability of all Chime's core platforms
  • Design and implement APIs and integrations between our machine learning platform services with the rest of the company’s systems
  • Design and implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights using cloud-based platforms
  • Design and lead implementation of complete distributed systems to meet all business needs, including service level objectives, scaling and performance requirements, anticipating common failure patterns and designing for resiliency of the overall system.
  • Serve as a role model for mentorship within the engineering organization and encourages innovation and foster an environment of continuous improvement.

To thrive in this role, you have

  • CS or related degree with 10+ years of proven experience designing, implementing and deploying large-scale distributed systems, backend systems, data or machine learning platform in production
  • ​Excellent communication and collaboration skills
  • Excellent problem solving and analytical thinking skills
  • An authority in platform technology, architectural designs and software engineering fundamentals (Python, Golang, or similar languages)
  • Demonstrated experience leading large-scale projects, from ideation to operation while collaborating with cross-functional teams
  • Experience working with CI/CD technologies (Jenkins and CircleCI), Docker and orchestration technologies (Kubernetes, Spinnaker, and Helm is preferred)
  • Experience working with leading data infrastructure technologies such as datastores (SQL/NoSQL dbs) and data streaming/processing (Flink, Spark, Kafka, Airflow, AWS SageMaker) is preferred
  • Experience working with data science teams that use machine learning tools and frameworks (Keras, Tensorflow, SparkML, pandas, scikit-learn, etc) is a plus
  • Technologies we use: Sagemaker, Spark, Kafka, Redis, MySQL, Postgres, Python, AWS Cloud Services, Snowflake and Looker, among many others.

A little about us

We created Chime because we believe everyone deserves financial peace of mind. By eliminating unnecessary fees and helping people grow their savings automatically, we’ve empowered millions of Americans to take control of their finances. 

Chime is the largest and fastest-growing U.S. player in the challenger-banking space. Through our banking partners, we offer access to bank accounts with fee-free overdraft, provide members the chance to receive early access to their paychecks, help them improve their credit, and more!

We’ve built one of the most experienced leadership teams in Fintech and were recently valued at over $25.5B. We’ve raised over $1.7B in funding from leading investors including Sequoia Capital Global Equities, SoftBank Vision Fund 2, General Atlantic, Tiger Global, Dragoneer, DST, Coatue, Iconiq, Menlo Ventures and others.

What we offer

  • 💰 Competitive salary based on experience
  • ✨ 401k match plus the usual medical, dental, vision, life, and disability benefits
  • 🏝 Generous vacation policy and company-wide Take Care of Yourself Days 
  • 🖥  Virtual events to connect with your fellow Chimers- think cooking classes, 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 create a completely new kind of banking service

We know that great work comes from great, and inclusive teams. At Chime, we specifically look for individuals of varying strengths, skills, backgrounds, and ideas. 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. If you have a disability or special need that requires accommodation, please let us know. To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice. 

Chime requires employees to be fully vaccinated (and boosted if eligible) against COVID-19 in order to work in one of its offices, join Company-sponsored activities, or travel for business purposes. This job may require periodic office attendance and/or business travel and therefore candidates will need to be eligible for these activities by their start date.

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Tags: Airflow AWS Banking Distributed Systems Docker Engineering FinTech Helm Kafka Keras Kubernetes Looker Machine Learning ML ML models Model training MySQL NoSQL Pandas Postgres Python SageMaker Scikit-Learn Security Snowflake Spark SparkML SQL Streaming TensorFlow Unstructured data

Perks/benefits: 401(k) matching Career development Competitive pay Equity Flex vacation Health care Salary bonus Startup environment Team events

Region: North America
Country: United States
Job stats:  5  0  0
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