Staff Applied Scientist

🔥 15 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $199.5k - $276k / year

⏰ Full Time

🔴 Lead

🧬 Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Upstart

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🚘 Automotive

💼 Consulting

🏥 Healthcare

Automotive • Consulting • Healthcare

Upstart is a leading AI lending marketplace partnering with banks and credit unions to expand access to affordable credit. The company focuses on revolutionizing lending and credit risk evaluation by leveraging its AI marketplace, which allows for higher approval rates and lower loss rates for Upstart-powered banks and credit unions. Recently, Upstart has expanded its offerings to include automobile refinancing. With a mission to enable effortless credit based on true risk, Upstart is also known for its digital-first lending experience and holds a significant position in the financial services sector.

📋 Description

• Define technical direction for complex machine learning initiatives, translating business objectives into scientific strategies and measurable outcomes • Lead the design and evaluation of advanced modeling approaches addressing predictive performance, robustness, and scalability • Identify systemic opportunities to improve model development, experimentation, evaluation, and production performance across teams • Partner with scientific, engineering, and business leaders to influence technical priorities and guide complex modeling tradeoffs • Establish scientific best practices and provide technical mentorship • Raise the quality and consistency of machine learning work across the organization

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience • 4 years of experience developing machine learning models or applying advanced statistical methods to complex quantitative problems • Experience leading the technical design and implementation of machine learning solutions used in production environments • Experience applying advanced machine learning methods and statistical evaluation techniques to large-scale datasets • Experience defining technical approaches or architecture for machine learning initiatives involving multiple stakeholders or systems • Knowledge of advanced machine learning techniques, including deep learning, ensemble methods, or probabilistic modeling • Ability to evaluate tradeoffs involving predictive performance, interpretability, scalability, and model reliability • Experience establishing modeling frameworks, evaluation standards, or reusable scientific tools adopted across teams • Skills in influencing technical direction, mentoring scientists, and communicating scientific recommendations to senior stakeholders

🏖️ Benefits

• Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly • Retirement benefits including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada) • Employee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only) • Comprehensive health coverage including medical, dental, vision, and wellness resources for US employees and supplemental health coverage for Canada • Health Savings Account contributions for eligible plans (US only) • Life insurance and disability coverage • Paid time off, sick leave, and company holidays • Paid family and parental leave • Family-centered benefits supporting fertility, parenthood, and caregiving • Employee Assistance Program (EAP) offering mental health support and life-centered resources • Financial planning tools and financial concierge service (US only) • Annual wellness allowance • Annual productivity allowance for relevant tools and resources • Team events, all-company updates, and employee resource groups (ERGs) • Catered lunches and stocked micro-kitchens at offices in the Bay Area, Austin, Columbus, and New York City

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