Staff Machine Learning Engineer, Block
Modeling, Risk
$172.2-247.5k
Salary dependent on location. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus
Financial services ecosystem
Job no longer available
Financial services ecosystem
1001+ employees
Job no longer available
$172.2-247.5k
Salary dependent on location. This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus
1001+ employees
Company mission
To create better tools to help everyone access the economy.
Role
Who you are
- We are seeking a highly motivated and experienced Staff Machine Learning Modeler to join the Payment credit risk team
- You are not only an executor but also a visionary leader to drive business and team growth
- An advanced degree (M.S., PhD.), preferably in Computer Science,Engineering, Statistics, Physics, Mathematics or a related technical field
- PhD plus 4 years (or Master plus 6 years) industry working experience in applied Machine learning or Deep learning
- Familiarity with cloud computing platforms (e.g., AWS, GCP) and big data technologies (e.g., Spark) is a plus
- A strong track record of performing machine learning model development using Python (numpy, pandas, tensorflow, pytorch, scikit-learn, etc.) and SQL/NoSQL interaction patterns
- Expert level knowledge of modern techniques in machine learning and deep learning, e.g., transformer network architectures, tree models with an orientation to maximizing such algorithms in a large scale production setting
- Familiarity with Linux/OS X command line, version control software (git), and general software development principles with a machine learning software development life-cycle orientation
- Machine learning strategic sequencing of methodological and software improvements to work back from maximizing core metrics associated with optimizing the business
- The ability to clearly communicate complex results to technical and non-technical audiences and stakeholders (PMs, Operations, Engineers)
What the job involves
- As a Machine Learning Modeler within the Risk Machine Learning and Decision Science team, you work on projects that enable a software driven, machine learning centric view on all money movement and every transaction within the rapidly growing Square ecosystem
- The successful candidate will lead the development and maintenance of predictive models that drive our credit risk strategies, and will work closely with stakeholders to ensure optimal credit risk management
- The successful candidate will play a crucial role in developing and executing the team's roadmap and long term strategy for payment credit risk modeling, and will be responsible for hands-on building and maintaining predictive ML models that drive our credit risk strategies
- Build machine learning/deep learning models for payment credit risk assessment that analyze seller / payment activity in real time / batch across Seller’s ecosystem consisting of payments, banking, and debit card products
- Stay up-to-date with industry trends and advancements in machine learning techniques and share/lead the team for learning/improvement. Adapt existing machine learning methods and transfer learning to develop solutions that work at global scale
- A senior data / ML leader provides short/long term machine learning strategy, scales the scope of work and team, making recommendations that lead to e2e execution
- Leverage an experimentation mindset along with state-of-the-art algorithms to create preventative systems, collaborate on new product features to drive business growth and payment losses reduction, and explore new datasets (including 3rd party data) to engineer new features for our models
- Lead and collaborate with other data scientists, data analysts, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
Our take
Block is a financial services technology company comprising of Square, Cash App, Spiral, TIDAL, and TBD. Its biggest brand, Square, offers hardware and software for small to medium-sized businesses enabling them to manage the entire payment lifecycle. It functions similarly to Shopify and Stripe, but has paired online payment processing with physical devices such as registers, payment terminals, and mobile card readers.
The business was originally founded as Square in 2009 by Jack Dorsey of Twitter fame. Already well-established with SMEs all over the globe, Square has significantly benefited from the increased demand for mobile payment systems. Its order management feature remains a go-to tool for small businesses that otherwise didn't have the proper infrastructure in place when demand for home delivery surged.
Square rebranded as Block in December 2021, with the Square brand name remaining in place for their seller business. The company has since come under fire for its security practices, facing lawsuits in relation to a major breach of CashApp user data, and in 2024 announced plans to reduce its workforce in order to cut costs. Despite these setbacks, there is every chance the business will move past this, though it may take some time to rebuild trust in its product.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
19% employee growth in 12 months
Company
Company benefits
- Healthcare coverage (Medical, Vision and Dental insurance)
- Health Savings Account and Flexible Spending Account
- Retirement Plans including company match
- Employee Stock Purchase Program
- Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
- Paid parental and caregiving leave
- Paid time off (including 12 paid holidays)
- Paid sick leave (1 hour per 26 hours worked (max 80 hours per calendar year to the extent legally permissible) for non-exempt employees and covered by our Flexible Time Off policy for exempt employees)
- Learning and Development resources
- Paid Life insurance, AD&D, and disability benefits
Company HQ
SoMa, San Francisco, CA
Leadership
Jack Dorsey
(CEO)Having studied at and dropped out of New York University, Jack founded Twitter in March 2006, where he has served as CEO since. He co-founded Square with Jim in February 2009, and has remained its CEO ever since.
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