Principal Applied Scientist

Upstart

Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $188k
This role $284k
$114k most similar roles pay here $353k

This role pays more than 95% of similar roles. Most pay $162,000–$214,500 — the shaded band above. At the midpoint, this role pays about $284k versus about $188k 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 42 open roles on FindRole.

Listed pay typically runs $177,200–$245,400 across 42 roles with salary data.

Most-posted roles

View all roles at Upstart

At a glance

TL;DR · Principal Applied Scientist

As a Principal Applied Scientist at Upstart, you will join the Growth and Marketplace Optimization teams to define the long-term technical direction for key offer optimization and conversion modeling systems. Your role involves structuring ambiguous problem spaces, designing solutions that consider interactions across multiple stages of the customer journey, and providing technical oversight to ensure work converges towards a coherent vision. You will build and guide conversion models that optimize decisions across stages rather than in isolation, ensuring downstream impacts are accounted for. Additionally, you will design interfaces between decision systems and optimization components, drive cross-functional alignment, and lead large initiatives requiring deep modeling judgment and strong systems thinking. The ideal candidate has an advanced degree in a quantitative field, 8+ years of experience deploying machine learning models at scale, expertise in optimization and causal inference, and experience leading technical initiatives across multiple teams. Preferred qualifications include fintech or lending domain experience and serving as a principal-level lead.

What you'll do

  • Define the technical vision for interconnected offer decisioning systems across various stages.
  • Build conversion modeling approaches that optimize decisions across multiple customer journey stages.
  • Ensure models account for downstream impacts and business constraints in decision policies.
  • Design interfaces between decision systems, optimization components, and constraint-specification parts.
  • Drive cross-functional alignment to ensure work converges toward a unified technical vision.

What we're looking for

  • Advanced degree in a quantitative field like statistics, mathematics, or computer science.
  • 8+ years of experience building and deploying machine learning models at scale.
  • Experience with optimization, operations research, and constrained decision-making problems.
  • Strong knowledge of causal inference and production decision systems.
  • Track record leading large cross-functional technical initiatives with multiple stakeholders.
  • Expertise in solving real-world machine learning problems in high-impact environments.

More like this

Similar roles

Principal Applied Scientist

Oracle

US 9 days ago $120,100$251,600
Python TensorFlow PyTorch Kubernetes Docker AWS CI/CD MLOps Prometheus Grafana PostgreSQL Git LLMs Generative AI RAG PEFT Agentic Systems

[Remote] Principal Applied Scientist

Oracle

Remote (US) 12 days ago $120,100$251,600
Python Java LLM Generative AI Transformers MLFlow LangChain LlamaIndex VectorStores Retrievers CI/CD AWS Kubernetes PostgreSQL
Remote

[Remote] Principal Applied Scientist

Oracle

Remote (US) 12 days ago $120,100$251,600
Python Java LLMs Generative AI Transformers MLFlow LangChain LlamaIndex VectorStores Retrievers CI/CD Deep Learning Machine Learning Tree-of-Thoughts Prompt Engineering Data Collection Systematic Evaluation
Remote

Principal Applied Researcher

Adobe

San Jose 22 days ago $268,000$388,000
PyTorch TensorFlow JAX Transformers Diffusion Models GANs MLOps Cloud Platforms Large Language Models PEFT SFT RL Agent-Based Systems Intelligent Assistants Planner-Based AI Creative Imaging Multimedia Domains