Principal Machine Learning Engineer

Upstart

3 months ago

Remote, Worldwide

Senior / Staff+

H1B Sponsor

Base Salary

$221k - $300k/yr

Responsibilities

Serve as the technical lead for applied ML initiatives that improve the accuracy, precision, and recall of underwriting models.
Design and implement advanced ML training strategies, including AutoML, ensemble learning, and temporal modeling techniques.
Drive GPU-accelerated experimentation, including CUDA-based training optimization and embedding fine-tuning.
Build robust data preprocessing and feature engineering pipelines for experimentation and production.
Influence modeling strategy through collaboration with Pricing Engineering and the ML Science organization.
Deliver measurable improvements to model-driven business outcomes such as conversion rate, rate accuracy, and loan performance.
Mentor future applied ML engineers and help define the long-term roadmap for ML excellence within Pricing.

8+ years of hands-on experience in applied machine learning with strong exposure to production-scale modeling efforts.
Proficiency in Python and core ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn, XGBoost).
Demonstrated expertise in end-to-end model development: data prep, feature engineering, training, evaluation, and deployment.
Practical experience optimizing ML workflows using CUDA/GPU acceleration.
Strong grasp of regression and classification metrics and their application to production models.
Ability to work autonomously and lead technical direction in ambiguous, high-impact domains.

Competitive Compensation (base + bonus & equity).
Comprehensive medical, dental, and vision coverage with Health Savings Account contributions.
401(k) with 100% company match up to $4,500 and immediate vesting.
Employee Stock Purchase Plan (ESPP).
Life and disability insurance.
Generous holiday, vacation, sick, and safety leave.
Supportive parental, family care, and military leave programs.
Annual wellness, technology & ergonomic reimbursement programs.
Social activities including team events and employee resource groups.
Catered lunches + snacks & drinks when working in offices.

PythonPyTorchscikit-learnTensorFlowXGBoost