Varo Bank

San Francisco

501-1,000 employees

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

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Sr. Machine Learning Engineer

Varo Bank

Sr. Machine Learning Engineer

ML Engineering

This job is no longer open

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!

What you'll be doing

Build feature pipelines/embeddings for batch and real-time data
Add functionality for the data science team to improve model training, evaluation, and batch inference at scale
Build and deploy production ML models (model training, batch and real time inference)
Improve model monitoring and alerting
Work on services that are implemented in Python and Java/Kotlin
Accelerate ML development as the team scales up alongside Varo’s increasing adoption of ML solutions
Design, implement, and own APIs and integrations between our ML model inference services and the company’s broader engineering systems
Design, develop, and advocate for ML platform observability, scalability, security, and performance
Work in a cross-functional capacity with data science, product, and business stakeholders
Solve problems in many different areas, including risk, fraud, lending, engagement, operations, and customer acquisition

You'll bring the following required skills and experiences

Must be proficient in a JVM language (Java, Kotlin, Scala) — technical interview will be in one of these languages
Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field & 3 years of experience involving machine learning systems and model building.
Strong programming and software engineering skills
Experience with some of the following technologies: Java/Kotlin, Python, gRPC, Terraform, Spring, AWS (Sagemaker, Glue), Kubernetes, Airflow, Spark, databases (DynamoDB, Postgres, Athena), Kafka, Docker, ML tools/frameworks (Keras, Tensorflow, SparkML, pandas, scikit-learn, etc.), Grafana, Kibana
Collaborating with cross-functional teams (e.g. making complex ML concepts easy to understand, getting buy-in from stakeholders, getting and giving feedback to teammates, etc.)
Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field is preferred

$140,000 - $180,000 a year

For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $140,000 - $180,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range.

We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you!

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

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

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.

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 careers@varomoney.com with the pertinent information and contact information.

CCPA Notice at Collection for California Employees and Applicants:

https://varomoney.box.com/s/q7eockvma9nd2b0utwryruh4ze6gf8eg

This job is no longer open