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Senior Machine Learning Engineer
Modeling, Risk
Posted on 1/6/2023
INACTIVE
Locations
Remote in USA • New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Structures & Algorithms
Git
Linux/Unix
NumPy
Pandas
Pytorch
SQL
Tensorflow
Python
NoSQL
Requirements
  • An advanced degree (M.S., PhD.), preferably in Computer Science,Engineering, Statistics, Physics, Mathematics or a related technical field
  • PhD plus 3 years (or Master plus 5 years) industry working experience in applied Machine learning or Deep learning
  • 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., tree models, transformer network architectures, 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)
Responsibilities
  • Build machine learning/deep learning models that analyze payment activity in real time across our Seller's ecosystem consisting of payments, banking, and debit card products
  • Adapt existing machine learning methods and transfer learning to develop solutions that work at global scale
  • Leverage an experimentation mindset along with state-of-the-art algorithms to create preventative systems, collaborate on new product features to drive losses down, and explore new datasets (including 3rd party data) to engineer new features for our models
  • Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new products, features, policies, and models
  • Research, design, develop, and test a range of classification, regression and optimization problems
Square

1,001-5,000 employees

Digital payment processor
Company Overview
Square's mission is to ensure that all businesses are able to participate and thrive in the economy. The company is building infrastrucutre for online payments.