Senior Machine Learning Engineer

Company: Harnham
Location: San Francisco, California, United States
Type: Full-time
Posted: 03.SEP.2021
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Summary

Senior Machine Learning Engineer $200,000 - $220,000 REMOTE Do you want to work with a growing Fin-Tech startup? Do you want to make an ...

Description

Senior Machine Learning Engineer

$200,000 - $220,000

REMOTE


Do you want to work with a growing Fin-Tech startup? Do you want to make an impact by helping bring credit to developing countries? If you have experience with classification, clustering, and regression techniques, and have worked with large data sets, apply now!


THE COMPANY:

This company has a mission to help bring credit to developing countries! This company focuses on building Machine Learning algorithms with data to assess credit risk. At this company, you will be collaborating with a strong leadership team and contributing to a meaningful mission! You will also have the opportunity to join this company early and have a large direct impact! This company is growing quickly and operating in a trillion-dollar market with few competitors, and your equity has a high chance of producing significant upside.


THE ROLE: SENIOR MACHINE LEARNING ENGINEER

As a Senior Machine Learning Engineer, you will be acting as a technical lead and mentoring more junior members, You will also be the lead on projects and will be paired with a Data Scientist to develop Machine Learning models, then productionize it!


In specific, you can expect to be involved in the following:

  • Being the Technical Lead
  • Mentoring junior members
  • Build Machine Learning models to predict repayment rates on installment loans
  • Combine credit scores derived from datasets into a single ensemble score predicting whether a new customer will be a good long-term customer


YOUR SKILLS AND EXPERIENCE:

A successful Senior Machine Learning Engineer will have the following:

  • Multiple years of building and deploying production-level Machine Learning models
  • Experience with Classification, Clustering, Regression techniques
  • Experience with frameworks for model serving such as Sagemaker
  • Experience with Scikit Learn, PyTorch, TensorFlow
  • Experience building production-quality software infrastructure, data pipeline and micro-services
  • Ability to own and deliver projects
  • Tools: Python, Java, Scikit Learn, PyTorch, TensorFlow, Sagemaker


Even better if you have the following:

  • Data Science and Machine Learning background on top of Software Engineer background
  • Designing and developing algorithms on top of deployment
  • Experience in Consumer Behavior Modeling
  • Fintech industry experience


THE BENEFITS:

  • $ 200,000 - $220,000

HOW TO APPLY:

Please register your interest by sending your CV to Kayla Nague via the Apply link on this page.


KEYWORDS: Machine Learning, Data Science, Python, Computer Science, Engineering, Artificial Intelligence, Algorithm Development, TensorFlow, Spark, Hadoop, AWS Sagemaker, PyTorch, Credit Risk, Fraud Detection, Airflow, A/B Testing, Classification, Regression, Clustering

 
Apply Now

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