Software Engineer

10 hours ago


San Francisco CA United States Robotics Technologies LLC Full time

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.

Job Overview

Job ID: J36993

Specialized Area: Machine learning

Job Title: Software Engineer - Machine Learning

Location: To Be Discussed Later

Duration: 11 Months

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

Machine learning is a critical tool in this effort, and as a member of the software engineering team, you will work on building, optimizing, and supporting these machine learning systems both offline and real time.

Responsibilities:
  • Build production machine learning models; your models will decide who we lend to in real time, and how we interact with our existing customers.
  • Develop the core decisioning service supporting our machine learning models in production.
  • Optimize the decisioning service with respect to the accuracy of the underlying models, the latency of different 3rd party data sources, and the expected financial cost of those data sources.
  • Develop our understanding of new data sources and how they may improve our existing processes.
  • Work closely with Affirm’s credit, risk, and analytics teams to understand our risk modeling strategy and the business drivers underlying that strategy.
  • Deep understanding and experience with data engineering, data analysis, and statistical modeling, in the development of a real-time service.
  • Strong proficiency writing production-quality code, preferably industry engineering experience with machine learning projects (e.g. recommendation, ranking, optimization).
  • Ability to work efficiently both solo and as part of a team; willingness to learn new things.
  • Passion and drive to change consumer banking for the better, while developing a deeper understanding of applied machine learning.

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

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