Machine Learning Engineer

Industry: Technology
Remote
Company size: 1-10
Full-time
Not disclosed

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Job description

A rapidly-growing company using the power of technology and data to help merchants and businesses deliver the best pricing to their customers is looking for a Machine Learning Engineer. The engineer will be collaborating with a cross-functional team to solve customers' problems in quick iterations. The start-up is led by a proven founder in an industry that is growing exponentially and on a mission to disrupt the e-commerce industry. This is an excellent opportunity for developers to rub shoulders with industry veterans.

  

Job Responsibilities:

  • Collaborate with e-commerce professionals and lead the creation and development of machine learning models to provide merchants with optimal pricing
  • Work on identifying and capturing features that are best suited to achieving accurate predictions such as revenue, price, discussion rates, etc.
  • Design and validate machine learning models, conduct research into relevant statistical methods
  • Perform data analysis, and provide recommendations to put machine learning models into production

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3-5+ years of experience working as a machine learning engineer
  • Working with Python should be incredibly hands-on and proficient (Pandas, NumPy, Scikit-learn, etc)
  • Python plotting experience is a plus (Matplotlib, etc). 
  • Be self-motivated and at ease with owning the complete lifecycle from start to finish
  • Comprehend business requirements, and then use technology to address those requirements
  • Have expertise accumulating data, interpreting data, constructing and validating predictive models
  • Sound ability to deploy completed models with concept-drift monitoring and retraining to generate business benefits
  • Real-world experience as a machine learning engineer or data scientist developing and deploying ML models or Deep Learning models
  • Proficiency working with at least three of the five key machine learning algorithms: Ridge Regression and Lasso, random forests, linear optimization models, sensitivity analysis, and boosting models
  • Proven experience transitioning machine learning algorithms from R&D to product, particularly leveraging Amazon Web Services (AWS)
  • Strong analytic abilities
  • Experience with dashboards, SQL, and data wrangling is a bonus

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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