COMPANY Our client is building a world class clinical AI platform that uses healthcare specific NLP and machine learning to generate healthcare insights to improve patient journeys. They aim to bring unprecedented scale and simplicity to healthcare by combining evidence based algorithms and big data architecture. Their use of NLP makes sense of a wide variety of structured and unstructured data that is stored in clinical workflows. By using scale and machine learning algorithms, clinical partners at all levels can derive meaningful and real-time insights from their data and intervene at critical junctures of patient care.

We are looking for candidates with a proven background and deep experience in dealing with real world data in one or more of the following areas: deep learning, large-scale machine learning, unsupervised and semi-supervised techniques, reinforcement learning, natural language understanding, and related areas.

Opportunity Use Deep Learning to optimize large-scale machine learning algorithms with thousands of parameters. Design algorithms that combine human &amp; machine workers to train high quality ML models. This position requires expertise in acquiring, processing, analyzing and modeling of information from potentially massive amounts of structured and unstructured data. You will collaborate closely with technologists and business stakeholders on the transition of your research into high value business applications. If you thrive on mastering new technical challenges and desire the opportunity to use your expertise to generate creative solutions to real-world problems, we want to hear from you!

Experience 3+ years of experience using deep learning in an applied (commercial/production) setting.

Advanced degree in Computer Science, Artificial Intelligence, or a related field.

Research experience in advanced machine learning for temporal and hierarchical domains (e.g. recurrent neural networks, deep learning).

Self-motivated with a strong work ethic and writing proficiency as evidenced by a strong publication record.

The ability to think "out of the box" to combine multiple possibly unrelated solutions to solve a single complex problem.

Preference would be given to candidates with healthcare experience.

Jon Piggins / Redfish TechnologyDirector of Business DevelopmentO:

Building Growth-Mode Tech Companies with Hand-Picked Talent Since 1996

Deep Learning Engineer

Be on the leading edge of applying deep learning in the cyber security domain. As part of the development and research teams, you will directly impact the product by developing core algorithms to model complex problems.&nbsp;

PatternEx is a startup, backed by&nbsp;<a href="http://www.khoslaventures.com/">Khosla Ventures</a>,&nbsp;developing a scalable, human-assisted Artificial Intelligence platform for InfoSec. The solution mimics human InfoSec analysts; it essentially creates&nbsp;an army of virtual analysts that can recognize malicious attacks with human-like levels of accuracy.&nbsp;

Our core team is comprised&nbsp;of architects with a history of designing category-leading products and research scientists from MIT’s CSAIL lab. We are looking to hire engineers&nbsp;and UI experts&nbsp;who are passionate about building large-scale systems for data analysis and machine learning.

PatternEx offers competitive compensation packages and employee benefits including: &nbsp;health, dental, vision, 401(K) &amp; stock options plans.&nbsp;PatternEx is an Equal Opportunity Employer.

Contact us at&nbsp;<a href="mailto:careers@patternex.com">careers@patternex.com</a>.&nbsp;

Be on the leading edge of applying deep learning in the cyber security domain. As part of the development and research teams, you will directly impact the product by developing core algorithms to model complex problems. 

Deep Learning Expert 

Cash App is the fastest growing financial brand in the world. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic app with over 36&nbsp;million monthly active users. We are bringing a better way to send, spend, invest, and save to anyone who has ever sought an alternative to the traditional banking system.&nbsp;Loved by customers and pop culture, we’ve consistently held the top spot for finance in the App Store for many years, seeing more engagement with millions of followers across social media in a day than most brands see in a year. We are building an ecosystem to redefine the world’s relationship with money by making it universally accessible.We want to hire the best talent regardless of location. Our employment model is distributed, offering the opportunity to collaborate with teams across the world in San Francisco, New York, St. Louis, Portland, Toronto, Kitchener-Waterloo, Sydney, and Melbourne.

Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions. Our massive scale and deep trove of transaction data create an endless number of opportunities to use artificial intelligence&nbsp;to better understand our customers and offer new products and experiences that can improve their lives. We are a highly creative group that prefers&nbsp;to solve problems from first principles; we move quickly, make incremental changes, and deploy to production every day.&nbsp;

This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams - here are the workstreams we're currently hiring for:

A customer’s identity is the gateway for unlocking products, features, and higher limits in Cash App’s ever expanding ecosystem. With identity theft and fraud globally on the rise, it is becoming more and more important that financial companies like Cash App build confidence in who a customer says they are, especially when 100% of customer activity is done digitally. As part of the Identity Machine Learning team, you will work cross-functionally on analytical and ML solutions that help us build that confidence and trust in our customer base. Our goal is to reduce the friction good customers have throughout our onboarding and identity verification process while making it harder for bad actors to fake and/or steal someone else’s identity. Accomplishing this upstream before a customer ever takes a transaction means we can completely avoid any downstream fraud, good customer frustration, and/or work other teams have to deal with due to stolen identities.

You'll&nbsp;build machine learning models that detect fraudulent activity in real time and help keep our customers safe and secure. You will experiment with state-of-the-art algorithms to drive down false positives, collaborate on new product features to drive fraud losses down, use any and every dataset at your disposal (including 3rd party data) to engineer new features for risk models, verify customer documents using OCR, and use biometric and device signals to detect malicious logins and account takeovers.

Our Lending team works on models that drive marketing, pricing, and risk management for our consumer lending products. Through your work you will empower the team to understand the financial performance of origination cohorts, optimize our automated decisioning pipeline using AI/ML, and help identify new opportunities for growth in our customer base. You will experiment with various modeling techniques on our comprehensive customer data and see your solution through to production by partnering cross-functionally with finance, product, and engineering teams. This role is best suited to someone with prior experience in the consumer credit or lending space.

Working closely with the Banking Product and Financial Platform teams, you will lead development of analytical and ML solutions that utilize our data to power optimizations across our Cash debit card and bank account products. Your work will aim to increase the customer adoption of banking products, reduce the manual operational load caused by banking features, and grow the overall revenue of Cash Banking as a whole. You'll be required to identify ML opportunities, prioritize your time, and solve complex problems where ML will have a significant impact for both our banking customers and/or the operation teams that support them.

Cash App enables millions of people and businesses to pay and get paid with ease. On our team, we build delightful experiences that help our customers find and discover each other quickly and with trust - we aim to grow and strengthen the connections between people and businesses across the globe. Through your work, you will empower Cash App to personalize customers’ search and discovery experiences using AI/ML, to better understand our customers’ payment journeys, and help identify and execute on new opportunities for product improvement. You will employ a variety of modeling techniques on our comprehensive customer data and scale your solution to production by partnering closely with design, product, analytics, and engineering teams. We are open to having remote members join for this position.

Working closely with our Customer Support team, you will use our vast amounts of data to make experiences seamless for our customers and help us achieve world-class service as Cash App continues its rapid growth. You will build models that anticipate customer issues and deliver proactive in-app suggestions, use NLP to contextualize inquiries and respond instantly with relevant content, develop prioritization algorithms that improve efficiency, and apply the latest research to automate conversations with customers.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Square is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.&nbsp;

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.

Additionally, we consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Square, Inc. (NYSE: SQ) builds tools to empower businesses and individuals to participate in the economy. Sellers use Square to reach buyers online and in person, manage their business, and access financing. Individuals use Cash App to spend, send, store, and invest money. And TIDAL is a global music and entertainment platform that expands Square's purpose of economic empowerment to artists. Square, Inc. has offices in the United States, Canada, Japan, Australia, Ireland, Spain, Norway, and the UK.

Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.

Senior Machine Learning Modeler

We are looking for Senior Product Data Scientists to join Square and help build Cash App, the fastest growing financial app in the world. We are reinventing the way people think about banking and financial services through our P2P, Banking, Cash Card, Boost, BTC, and stock investing products. We derive valuable insights from our extremely unique datasets and turn those into actions that improve the experience for our customers every day.

We are looking for Senior Product Data Scientists to join Square and help build Cash App, the fastest growing financial app in the world. 

Senior Product Data Scientist

Cash App is the fastest growing financial brand in the world. Built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic money app with over 36&nbsp;million active monthly users.&nbsp;

Loved by customers and by pop culture, we’ve held the #1 spot in finance on the App Store for almost two years, and our social media posts see more engagement in a day than most financial brands see in a year.&nbsp;

With major offices in San Francisco, New York, St. Louis, Portland, Kitchener-Waterloo, Toronto and Melbourne, Cash App is bringing a better way to send, spend, and save to anyone who has ever sought an alternative to today’s banking system.

We are hiring a Machine Learning (ML) Engineering Tech Lead Manager to build and lead Cash App's MLE Lending team. This role reports directly to the Head of Applied ML and will involve building our MLE Lending team from scratch. It will be your team's core responsibility to build, maintain, and evolve the infrastructure and tooling that powers our ML applications in production, at scale. In doing so, you will partner frequently with our ML Modeling and platform-focused ML teams.

This role reports directly to the Head of Applied ML and will involve building our MLE Lending team from scratch. 

Tech Lead Manager - Machine Learning

Machine Learning at Cash App has swiftly grown to become a central function of the business, with over 100 people working on solving some of the most cutting edge ML questions in FinTech. Our team is continuing to grow and we’re looking for Engineers with experience developing ML pipelines and infrastructure to join us and build out the next generation platform to power use cases across the company. Across the team, we employ methods ranging from simple heuristics to Deep Learning technology to improve our performance and services. We’re also excited to explore new directions with the team to continue pushing the boundaries of what’s possible.

Our ML Engineers operate embedded in product-focused Workstreams and work in close collaboration with Data Scientists, ML Modelers and Software Engineers from across Cash App. Here are some Workstreams that are currently growing:

The ML Identity team focuses on providing AI-based opportunities to establish and verify Cash App's customer identities across the services we provide. This team works to build out both security and accessibility for Cash App users. We're a small team of engineers focused on exploring AI longshots, balancing a passion for advancing what's possible with a commitment to positive real-world impact. The ML Identity engineering team is led by&nbsp;<a href="https://www.linkedin.com/in/kyledef">Kyle</a>&nbsp;(who you'll report to) and this is a chance to work with us as a founding member.

The Risk team applies ML to protect our customers and our company’s bottom line from an ever changing landscape of fraud and platform abuse. We are continually refining and searching for new ways to leverage ML to stay ahead of ever more sophisticated fraud and scam patterns. In addition, we are continually evolving our platform to scale up in line with Cash App’s global expansion, and to provide the rapid payments platform that our customers expect and demand.

The Banking ML team focuses on all things ML related to the Cash Card and Banking at Cash. There is an element of risk and fraud prevention involved. From building pipelines and models to combat fraud on every Cash Card transaction and activation, to building out data models and pipelines to enable a large expansion of Cash Check Deposits. We are a new team that was created to support the fast growing banking space within Cash App. Our ultimate goal is to ensure that our customers experience safe and reliable Banking with Cash App.

The Cash Customer Support ML team has a vision to provide customer support that’s better than humans through ML. We’re a mixed team of engineers and modellers that work together to deliver models that help us support our customers when they run into problems. We currently use ML automation on two support channels: email and in-app chat. We’re actively working towards making these perform better and we’re always looking for innovative solutions to help our customers with ML.

Stack:&nbsp; We value general engineering skill and versatility over existing domain knowledge, but here’s a sample of what we currently use:

Our team is continuing to grow and we’re looking for Engineers with experience developing ML pipelines and infrastructure to join us and build out the next generation platform to power use cases across the company. 

Data Science Jobs in Mountain ViewJuly - 2025

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Deep Learning Engineerat Redfish Technology

Deep Learning Expert at Patternex

Be on the leading edge of applying deep learning in the cyber security domain. As part of the development and research teams, you will directly impact the product by developing core algorithms to model complex problems.

Senior Machine Learning Modelerat Square

Machine Learning is an integral part of how we design products, operate, and pursue Cash App’s mission to serve the unbanked as well as disrupt traditional financial institutions.

Senior Product Data Scientistat Square

We are looking for Senior Product Data Scientists to join Square and help build Cash App, the fastest growing financial app in the world.

Tech Lead Manager - Machine Learningat Square

This role reports directly to the Head of Applied ML and will involve building our MLE Lending team from scratch.

Machine Learning Engineerat Square

Our team is continuing to grow and we’re looking for Engineers with experience developing ML pipelines and infrastructure to join us and build out the next generation platform to power use cases across the company.