1 month ago
Base Salary
$221k - $300k/yr
Responsibilities
- Build tools, infrastructure, and workflows that improve the speed and reliability of machine learning development.
- Design and scale a unified embeddings platform for training, serving, and managing representations.
- Streamline feature engineering pipelines and accelerate delivery of new modeling signals.
- Develop automated continuous-learning systems for data refresh, retraining, evaluation, and drift monitoring.
- Scale training pipelines for larger datasets, more complex architectures, and faster experimentation.
- Improve the end-to-end ML lifecycle from data preparation and feature development through training, evaluation, serving, and monitoring.
- Explore algorithms and methodologies for machine learning models and develop supporting tooling.
- Define the roadmap and technical direction for the next-generation ML Platform.
- Collaborate with ML scientists, engineers, Data Engineering, ML Platform, Pricing, and product teams to build reliable end-to-end ML systems.
Requirements
- 5–7+ years of hands-on experience in applied machine learning with production-scale modeling experience.
- Strong theoretical and practical foundation in machine learning and statistics, including model assumptions, bias, uncertainty, tradeoffs, evaluation, and failure modes.
- Deep understanding of model behavior beyond common tool and framework abstractions, with the ability to apply that knowledge to production solutions.
- Proficiency in Python and core machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, and XGBoost.
- Demonstrated expertise in end-to-end model development, including data preparation, feature engineering, training, evaluation, and deployment.
- Experience in high-scale, ML-driven product environments, especially fintech, pricing, or risk modeling.
- Ability to work autonomously, lead technical direction in ambiguous high-impact areas, and influence strategy across engineering and science disciplines.
- Master’s degree or PhD in a quantitative discipline, or equivalent additional professional experience.
- Preferred experience includes CUDA/GPU optimization, feature-store design, embedding architecture, synthetic data generation, experimentation frameworks, hyperparameter tuning, and automated model selection.
- Proven record of improving production model accuracy with measurable business outcomes.
Benefits
- Remote-US work arrangement with East/West Coast time-zone requirements.
- Most work can be completed remotely, with team onsites typically once or twice per quarter for 2–4 consecutive days.
- Medical, dental, vision, wellness resources, and health savings account contributions for eligible US plans.
- 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually.
- Employee Stock Purchase Plan for eligible US employees, annual equity grants, and target bonus opportunities.
- Paid time off, sick leave, company holidays, and paid family and parental leave.
- Family-centered fertility, parenthood, and caregiving benefits plus an Employee Assistance Program.
- Financial wellness resources, annual wellness allowance, and annual productivity allowance.
- Team events, company updates, employee resource groups, catered lunches, and stocked office kitchens.
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About Upstart
Upstart (NASDAQ: UPST) is the leading AI lending marketplace, connecting millions of consumers to more than 100 banks and credit unions that leverage Upstart’s AI models and cloud applications to deliver superior credit products. With Upstart AI, lenders can approve more borrowers at lower rates while delivering the exceptional digital-first experience customers demand. More than 90% of loans are fully automated, with no human intervention by Upstart. Founded in 2012, Upstart’s platform includes personal loans, automotive retail and refinance loans, home equity lines of credit, and small-dollar “relief” loans. Upstart is based in San Mateo, California. Upstart Network, Inc. NMLS #936133 | All mortgage lending conducted by Upstart Mortgage, LLC. NMLS #2443873 nmlsconsumeraccess.org