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Senior Software Engineer, Machine Learning Platform

Company: CHIME
Location: San Francisco
Posted on: January 15, 2021

Job Description:

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, creates recommendations for users and much more. You---ll contribute 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 as the team scales up and out alongside Chime---s explosive member growth.This job cannot be performed remotely in the state of Colorado.In this role, you can expect to Build feature pipelines for batch and real-time data, collaborating with various stakeholders in data engineering & data scienceContribute to our ML pipeline infrastructure for model training, evaluation and batch inference at scaleDesign and build infrastructure to support low-latency transactional inference in productionDesign/implement/own APIs and integrations between our ML model inference services and the rest of the company---s systemsEnhance/support our ML labeling infrastructureHelp develop our ML metrics and monitoring infrastructureTo thrive in this role, you haveCS or related degree with 6 years of experience implementing and deploying large-scale distributed systems, backend systems, or ML pipeline infrastructure in productionStrong programming skills and software engineering fundamentals (Python, Golang, or similar languages)Demonstrated experience leading projects end-to-end while collaborating with cross-functional teamsExperience working with CI/CD technologies (Jenkins and CircleCI), Docker and orchestration technologies (Kubernetes, Spinnaker, and Helm is preferred)Experience working with various data infrastructure technologies such as datastores (SQL/NoSQL dbs) and data streaming/processing (Spark, Kafka, Airflow, AWS Kinesis) is preferredExperience supporting data science teams that use machine learning tools and frameworks (Keras, Tensorflow, SparkML, pandas, scikit-learn, etc) is a plusTechnologies we use: Airflow, Spark, Kafka, Redis, MySQL, Postgres, Python, AWS, Snowflake and Looker, among many othersA little about usWe 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 moreWe've built one of the most experienced leadership teams in Fintech and were recently valued at over $14.5B. We've raised over $1B in funding from leading investors including DST, Coatue, Tiger Global, General Atlantic, Iconiq, Dragoneer, Menlo, Whale Rock, Access, Forerunner, Crosslink, Cathay, aCrew, and others. What we offer---- Competitive salary based on experience--- 401k match plus the usual medical, dental, vision, life, and disability benefits-- Quarterly stipend to spruce up your home office -- 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 serviceWe 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.

Keywords: CHIME, San Francisco , Senior Software Engineer, Machine Learning Platform, IT / Software / Systems , San Francisco, California

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