Senior Applied Scientist

🔥 15 hours ago

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $167.7k - $231.8k / year

⏰ Full Time

🟠 Senior

🧬 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

• Lead end-to-end development of machine learning models, from problem formulation and experimentation through deployment and performance evaluation • Design and evaluate advanced modeling approaches to improve predictive accuracy, robustness, and operational effectiveness • Identify opportunities to improve existing models through feature development, experimentation, and rigorous statistical analysis • Partner with engineering, product, and business stakeholders to translate complex requirements into measurable machine learning objectives • Guide technical decisions, review scientific methodologies, and share expertise to improve the quality and effectiveness of the team’s work • Own complex modeling problems from initial investigation through production implementation • Help shape technical approaches and scientific best practices

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience • 3 years of experience developing and evaluating machine learning models or applying statistical methods to production-oriented problems • Experience developing machine learning solutions using Python and established machine learning frameworks • Experience designing and evaluating experiments using statistical methods and quantitative performance metrics • Experience implementing, deploying, or maintaining machine learning models in production environments • Knowledge of advanced machine learning methods, including ensemble learning, deep learning, or probabilistic modeling • Ability to evaluate tradeoffs among model performance, interpretability, reliability, and computational efficiency • Experience with large-scale data processing or distributed machine learning systems • Skills in communicating complex scientific findings and recommendations across technical and business teams

🏖️ Benefits

• Competitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly • 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 (ESPP) with discounted stock purchase options for eligible employees (US only) • Medical, dental, vision, wellness resources, 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 fertility, parenthood, and caregiving benefits • Employee Assistance Program 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 • Catered lunches and fully stocked micro-kitchens at offices in the Bay Area, Austin, Columbus, and New York City

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