Senior Manager, Machine Learning

Upstart

Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$238,400–$330,200 / yr
Posted
1 day ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k
This role $284k
$150k most similar roles pay here $350k

This role pays more than 88% of similar roles. Most pay $183,543–$246,150 — the shaded band above. At the midpoint, this role pays about $284k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Upstart

Upstart is an AI lending platform that partners with banks and credit unions to expand access to affordable credit using non-traditional variables.

Upstart currently has 40 open roles on FindRole.

Listed pay typically runs $177,200–$245,400 across 40 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Senior Manager, Machine Learning

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The Core ML organization at Upstart is seeking a Senior Manager of Machine Learning to join their leadership team as a hands-on player-coach. This role involves leading small, agile teams in areas such as Cash Line, Auto Retail Lending (ARL), and Underwriting, where you will build core underwriting models and optimize decision engines for customer-friendly lending outcomes. You will use Python, TensorFlow, and other ML tools to develop and deploy models with direct business impact, requiring strong technical judgment and statistical intuition. Ideal candidates have a background in quantitative fields and experience leading high-impact ML initiatives from research through productionization, with expertise in scaling processes and collaborating cross-functionally across Product, Engineering, and Capital Markets teams.

Skills

Python TensorFlow PyTorch Scikit-learn Keras Pandas NumPy SQL AWS Google Cloud Platform CI/CD MLOps Docker Kubernetes Git Jupyter Notebook GitHub PostgreSQL MongoDB Spark Hadoop Prometheus Grafana

What you'll do

  • Lead strategic ML initiatives and serve as the de facto ML leader in cross-functional strategy meetings.
  • Drive 0→1 and scaling efforts for machine learning projects from research through productionization.
  • Translate model predictions into accurate, transparent, and customer-friendly lending outcomes.
  • Dive deep into data and code to make direct technical contributions and review work output.
  • Mentor and grow a top-tier team of ML scientists passionate about expanding access to credit.

What we're looking for

  • 6+ years of experience developing and deploying machine learning models with direct business impact.
  • Proven track record of leading high-impact ML initiatives from research to production.
  • Advanced degree in a quantitative field like computer science, statistics, or economics.
  • Strong technical judgment and ability to analyze data and evaluate model design.
  • Exceptional leadership skills for developing teams of highly technical ML scientists.
  • Experience influencing and collaborating cross-functionally with Product, Engineering, and Capital Markets.

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