Lead Machine Learning Engineer

Company: Harnham
Location: Los Angeles, California, United States
Type: Full-time
Posted: 02.AUG.2021

Summary

Lead Machine Learning Engineer Remote $200,000 - $240,000 + Competitive Benefits THE COMPANY * COMPANY: A growing fintech start up addres...

Description

Lead Machine Learning Engineer

Remote $200,000 - $240,000 + Competitive Benefits

THE COMPANY

  • COMPANY: A growing fintech start up addressing some of the world's largest problems in the credit space.
  • TEAM: Machine learning and data science is the core part of the company. Join a strong team of 5 data scientists and engineers and work directly with the VP of Engineering
  • CULTURE: Casual work environment along with a diverse and inclusive culture; flexible working hours and a work from home policy.

THE ROLE

As a Lead Machine Learning engineer you will…

  • Work with data scientists to build end-to-end machine learning models to model customer behavior in the credit space
  • Productionize and scale advanced machine learning algorithms for the credit space
  • Work with large scale customer data to build top solutions
  • Build microservices and data pipelines
  • Lead projects and mentor more junior members

YOUR SKILLS AND EXPERIENCE

  • 5+ years of full time experience deploying and productionizing machine learning algorithms
  • Experience with customer behavior modeling and consumer data
  • Experience working end-to-end and building production level models
  • Experience with predictive modeling and machine learning with a strong foundation in statistics
  • Experience in fintech - fraud detection or credit risk modeling is a huge plus!
  • Grea communication skills
  • Experience leading teams is a huge plus
  • Tools: Python, Tensorflow, SQL, Spark, AWS Sagemaker

THE BENEFITS

As a Lead Machine Learning Engineer, you can expect a base salary between $200,000 to $240,000 (based on experience) plus competitive benefits.

HOW TO APPLY

Please register your interest by sending your CV to Kristianna Chung via the Apply link on this page

 
Apply Now

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