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Remote Principal ML Engineer, Platform & Scale

Upstart

United States

On-site

USD 220,000 - 300,000

Full time

6 days ago
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Benefits offered by this job

401(k) with company match
Employee Stock Purchase Plan
Comprehensive health coverage
Paid family and parental leave
Mental health support

Job summary

Upstart is seeking a Principal Machine Learning Engineer to join their team in the United States. The role involves leading engineering initiatives to build scalable and reusable infrastructure for machine learning. You will collaborate with various teams to improve model development and accuracy. The ideal candidate will have over 7 years of experience in applied machine learning and proficient in Python as well as core ML frameworks. The position offers competitive compensation, including a base salary ranging from $220,700 to $300,000 and extensive benefits.

Qualifications

  • 7+ years of hands-on experience in applied machine learning.
  • Strong expertise in end-to-end model development.
  • Experience in high-scale ML-driven environments, especially in fintech.

Responsibilities

  • Scale ML innovation by building tools and infrastructure.
  • Design systems that improve accuracy and efficiency.
  • Automate operational workflows to focus on high-leverage modeling.

Skills

Applied machine learning
Python
Production-scale modeling
Feature engineering
Collaboration with cross-functional teams

Education

Master’s degree or PhD in a quantitative discipline

Tools

PyTorch
TensorFlow
Scikit-learn
XGBoost

Job description

Upstart is seeking a Principal Machine Learning Engineer to join their team in the United States. The role involves leading engineering initiatives to build scalable and reusable infrastructure for machine learning. You will collaborate with various teams to improve model development and accuracy. The ideal candidate will have over 7 years of experience in applied machine learning and proficient in Python as well as core ML frameworks. The position offers competitive compensation, including a base salary ranging from $220,700 to $300,000 and extensive benefits.
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