Senior Applied Scientist - Remote ML Leader

Upstart; Austin, San Francisco (TX, CA); Remoto; USD 168.000 - 232.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive compensation

401(k) / retirement plan

Equity grants

Employee stock purchase plan (ESPP)

Comprehensive health coverage

Wellness resources

Paid time off

Parental leave

Descrizione del lavoro

Upstart is seeking a Senior Applied Scientist to lead the development of machine learning solutions that improve model performance and business outcomes. You will own complex modeling problems from investigation to production, guiding approaches and best practices.

You will collaborate with engineering, product, and business partners to translate complex requirements into measurable ML objectives and drive impact across the lending platform.

Competenze

• Minimum: Bachelor's degree in CS/Engineering/Math/Stats or equivalent
• 3 years of ML model development or applying stats to production problems
• Experience with Python and established ML frameworks
• Experience designing and evaluating experiments using stats and metrics
• Experience deploying or maintaining ML models in production

Mansioni

• Lead end-to-end development of ML models from problem formulation to deployment and evaluation
• Design and evaluate advanced modeling approaches to improve accuracy and robustness
• Identify opportunities to improve models through feature development and rigorous analysis
• Collaborate with engineering, product, and business to translate requirements into ML objectives
• Guide technical decisions and share methodologies to improve team quality

Conoscenze

ML model development

Python

Experiment design

Statistical analysis

Production deployment

Stakeholder collaboration

Formazione

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or related field

Strumenti

ML frameworks

Descrizione del lavoro

Upstart is seeking a Senior Applied Scientist to lead the development of machine learning solutions that improve model performance and business outcomes. You will own complex modeling problems from investigation to production, guiding approaches and best practices.

You will collaborate with engineering, product, and business partners to translate complex requirements into measurable ML objectives and drive impact across the lending platform.