Senior Software Engineer, Machine Learning Platform
Company: CHIME
Location: San Francisco
Posted on: January 15, 2021
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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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