Sr. Staff Software Engineer, Machine Learning
US Remote
Varo Bank
Get access to personal banking services including no monthly fee checking, high-yield savings, cash advances up to $250 and more with Varo Bank.About the AI/ML TeamThe 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 roleYou’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.
As a Staff Software Engineer, Machine Learning you’ll...
- 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.
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.
- 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 VaroVaro 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/varomoneyInstagram - www.instagram.com/varobankLinkedIn - https://www.linkedin.com/company/varobankTwitter - https://twitter.com/varobankEngineering Blog - https://medium.com/engineering-varoSoundCloud - 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 careers@varomoney.com with the pertinent information and contact information.
Tags: Airflow APIs Athena AWS Banking Big Data Computer Science Deep Learning Distributed Systems DynamoDB Engineering Feature engineering FinTech Grafana Kafka Keras Kubernetes Machine Learning Mathematics ML models Model inference Model training Pandas Physics Pipelines Python SageMaker Scikit-learn Security Spark SparkML Streaming TensorFlow Terraform
Perks/benefits: Career development
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