AWS, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, NoSQL, NumPy, Python Programming, PyTorch, SPARK Programming, SQL
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. This touches on actively maximizing the trade off of revenue growth and risk using artificial intelligence. The machine learning driven software that we release interacts with every transaction and money movement within our seller ecosystem - a profound degree of scale and impact. Such machine learning techniques touch on transfer learning, reinforcement learning, decision theory, deep learning sequence modeling, natural language processing, and optimization theory. In addition, we also strive to provide our sellers, through seller facing products, with transparency around why our machine learning made a particular decision. This touches on algorithms in the relatively new space of explainable artificial intelligence.
We are seeking a highly motivated and experienced Staff Machine Learning Modeler to join the Payment credit risk team. 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. You are not only an executor but also a visionary leader to drive business and team growth.
You will:
Qualifications
You have:
Additional Information
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
Zone A: USD $202,500 - USD $247,500
Zone B: USD $192,400 - USD $235,200
Zone C: USD $182,300 - USD $222,800
Zone D: USD $172,200 - USD $210,400
To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.
Full-time employee benefits include the following:
These benefits are further detailed in Block's policies. 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. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
Established in 2009 by Jack Dorsey and Jim McKelvey, Block, Inc. is a publicly traded American company. Formerly known as Square, Inc. until 2021, it encompasses diverse entities in the financial technology industry. Operating in 95 countries.
San Francisco, CA, USA
6-8 year
New York, NY, USA
6-8 year
San Francisco, CA, USA
6-8 year
San Francisco, CA, USA
6-8 year
San Francisco, CA, USA
4-6 year
San Francisco, CA, USA
4-6 year