Staff Machine Learning Engineer

| San Francisco
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Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured, and designed for the way our customers live their lives.

A bank for all of us.


About the AI/ML Team

The Artificial Intelligence and Machine Learning (AI/ML) engineering team at Varo is passionate about helping customers improve their financial lives with modern state-of-the-art AI and ML technology with fairness, accountability, and explainability embedded into it. You’ll join the team that improves user engagement and revenue generation by leveraging machine learning, cloud platforms and big data to combat fraud, improve member experience, create user recommendations and much more. If you are interested in working with an impressive team of Software and Machine Learning engineers who collaborate and challenge each other and want to solve interesting problems to propel the company’s growth, apply now!


About this role

You’ll have a unique opportunity to work on researching and developing ML models and building the necessary infrastructure to deploy them. We value collaboration, ownership, growth, initiative and the importance of thinking like an engineer with the curiosity of an applied scientist. Your work will accelerate ML development as the team scales up alongside Varo’s explosive member growth.

As a Staff Machine Learning Engineer you’ll...

  • Build and deploy state of the art ML models (for fraud detection, recommender systems and credit risk underwriting models) which ultimately improve user engagement and / or revenue generation.
  • Leverage large data sets from different sources and use advanced modeling techniques such as decision trees, xgboost, neural networks, reinforcement learning to increase and optimize customer experiences, customer acquisition, underwriting and other business outcomes.
  • Build feature pipelines / embeddings for batch and real-time data, collaborating with data engineering & data science stakeholders.
  • Contribute to our ML pipeline infrastructure for model training, evaluation, and batch inference at scale.
  • Work in a cross-functional capacity with the risk & fraud, data science, product and business stakeholders.

You have the following required experience...

  • Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field & 5 years of experience involving: application of cloud technologies, infrastructure, and application of distributed systems.
  • Demonstrated experience leading projects end-to-end while collaborating with cross-functional teams.
  • Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field is preferred.
  • Experience using and supporting machine & deep learning tools and frameworks (Keras, Tensorflow, SparkML, pandas, scikit-learn, etc) is a plus.
  • Experience with building & deploying large scale fraud / risk models is a plus.

Technologies we use...

  • AWS SageMaker, Tensorflow, Scikit-Learn, Metaflow and Apache Airflow among others on large amounts of data.
  • Technologies for production serving include Java/Kotlin, AWS Sagemaker, Kubernetes/Kubeflow, DynamoDB, GRPC, Terraform, Grafana and many others.

#MidSenior


About Varo

Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all digital, mission-driven, FDIC-insured, and designed around the modern American consumer. 


As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system.


We are growing quickly in our hub locations of San Francisco, Salt Lake City, and Charlotte along with colleagues located across the country. We have been recognized among Fast Company’s Most Innovative Companies, Forbes’ Fintech 50, and earned the No. 7 spot on Inc. 5000’s list of fastest-growing companies across the country.


Varo. A bank for all of us.


Our Core Values

- Customers First

- Take Ownership

- Respect

- Stay Curious

- Make it Better



Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.


Learn more about Varo by following us:

Facebook - https://www.facebook.com/varomoney

Instagram - www.instagram.com/varobank

LinkedIn - https://www.linkedin.com/company/varobank

Twitter - https://twitter.com/varobank

Engineering Blog - https://medium.com/engineering-varo

SoundCloud - https://soundcloud.com/varobank


Beware of fraudulent job postings!

Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information.


Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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Location

222 Kearny St, San Francisco, CA 94108

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