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Staff Software Engineer, Machine Learning

Company: Varo Money, Inc.
Location: San Francisco
Posted on: November 22, 2021

Job Description:

Staff Software Engineer, Machine Learning 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 the role You'll contribute to Varo's AI/ML platform which includes infrastructure for feature engineering (batch and streaming) and building and deploying production ML models (model training, batch and real time inference) as well as model monitoring and alerting. A lot of our services are implemented in Python and Java/Kotlin. Your work will accelerate ML development as the team scales up alongside Varo's explosive member growth. What You'll Do

  • 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.
  • Design, implement, 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 the risk & fraud, data science, product and business stakeholders. Required skills, traits, and experiences
    • 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.
    • Building and operating machine learning platform.
    • 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.
    • Modern data technologies such as in-memory, distributed and serverless processing (e.g. spark/cloud-functions), key/value vs. document vs. column oriented datastores (e.g. athena, DynamoDB), message queues (kafka/pub-sub), elastic scaling (kubernetes, instance-groups), etc is a plus.
    • Experience using and supporting machine & deep learning tools and frameworks (Keras, Tensorflow, SparkML, pandas, scikit-learn, etc) 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 About Varo We're on a mission to bring financial inclusion and opportunity to all hard-working Americans. Through our mobile app, we offer premium bank accounts that have no minimum balance requirement or monthly account fees, high-interest savings accounts, short-term lending, and solutions to help customers stretch their paycheck, build credit and start saving. Our tech-first products are designed to make money work for everyone and help customers and communities build greater financial resiliency. Varo is distinct from other fintechs: we've made history as the first and only consumer fintech to be granted a full national bank charter by the Office of the Comptroller of the Currency (OCC). Varo Bank represents the evolution of a new generation of banks that are born from innovation and built on technology to empower consumers and businesses. Our team combines the best of both consumer tech and banking, and we're wildly passionate about helping our customers. Our teams are based in San Francisco and Salt Lake City. Privately held, we've raised over--$482M to date, from leading institutional investors and strategic partners including Warburg Pincus, The Rise Fund, Gallatin Point Capital, Harbourvest Partners, Progressive Insurance, and Russell Westbrook Enterprises. Varo is entrepreneurial, collaborative, enthusiastic, customer-oriented, fast-paced, and multicultural. This is an open and relatively flat organization that puts an emphasis on collaboration, sharing ideas and information. For a relatively early-stage company, Varo is grounded in a strong set of values and takes pride in the diversity of its employees and board.-- 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. 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 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.

Keywords: Varo Money, Inc., San Francisco , Staff Software Engineer, Machine Learning, IT / Software / Systems , San Francisco, California

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