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.
Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.