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Senior Manager, Software Engineering – Machine Learning Simulations

🕒 Setembro 10

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $195.300 - $270.400 / ano

⏰ Tempo Integral

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Publicada na página de carreiras da Upstart, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship Setembro 10

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Upstart

1001 - 5000 funcionários

🚘 Automotivo

💼 Consultoria

🏥 Saúde

Automotive • Consulting • Healthcare

A Upstart é um dos principais marketplaces de empréstimos com IA, em parceria com bancos e cooperativas de crédito para expandir o acesso a crédito acessível. Ao nos tornarmos uma empresa de capital aberto, estamos agora prontos para alavancar nossa expertise no domínio e revolucionar todos os aspectos da concessão de empréstimos e avaliação de risco de crédito. Recentemente ampliamos nossas ofertas para incluir refinanciamento de automóveis e planejamos atuar em mais verticais à medida que o negócio cresce. Ao utilizar o marketplace de IA da Upstart, bancos e cooperativas de crédito que utilizam a Upstart podem ter taxas de aprovação mais altas e taxas de perda mais baixas, enquanto simultaneamente oferecem a experiência de empréstimo excepcional e digital-first que seus clientes exigem. O marketplace patenteado da Upstart é o primeiro a receber uma carta de não ação do Bureau de Proteção Financeira ao Consumidor relacionada a empréstimos justos. A Upstart não só apoia uma grande força de trabalho remota, mas também possui escritórios em San Mateo, CA; Columbus, OH; e Austin, TX. A maior parte dos que se juntam à Upstart o fazem porque se identificam com nossa missão de permitir acesso a crédito sem esforço baseado no risco real. Se você se sente energizado pelo impacto que pode causar na Upstart, adoraríamos ouvir de você!

Descrição

• Own the engineering roadmap for Upstart's marketplace simulation platform • Decide which teams and use cases the platform serves next • Lead, coach, and grow engineers working across distributed services, offline data pipelines, and large-scale compute • Improve simulation reliability and accuracy for launch decisions • Implement automated checks detecting drift between simulated and production results • Reduce simulation costs through architecture and compute choices • Extend simulation coverage across the lending funnel and new loan products • Partner with teams owning pricing and decisioning logic • Convert recurring questions from machine learning, analytics, and capital markets partners into self-serve simulation workflows • Collaborate across machine learning, pricing, product, analytics, and infrastructure teams

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience • 8+ years of software engineering experience, including 3+ years of engineering management experience • Experience leading engineering teams building and operating backend platforms or distributed systems in production • Experience delivering platform or infrastructure programs spanning multiple teams • Proficiency with some or many of: Python, Kotlin, AWS, Kubernetes, Databricks, Spark • East/West coast time zone availability • Preferred: knowledge of simulation, backtesting, experimentation, or offline model evaluation systems • Preferred: experience supporting machine learning teams or operating MLOps infrastructure • Preferred: knowledge of lending, pricing, credit risk, or marketplace economics • Preferred: ability to optimize compute cost and efficiency • Preferred: experience building shared platforms with stable interfaces • Preferred: experience developing senior engineers and emerging engineering leaders

🏖️ Benefícios

• Target bonuses • Equity compensation and annual equity grants vesting quarterly • 401(k) or Group Retirement Savings Plan with 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 US employees • Medical, dental, vision, and wellness resources for US employees • Supplemental health coverage for Canada • Health Savings Account contributions for eligible US plans • Life insurance and disability coverage • Paid time off, sick leave, and company holidays • Paid family and parental leave • Fertility, parenthood, and caregiving benefits • Employee Assistance Program with mental health support and life-centered resources • Financial planning tools and financial concierge service for US employees • Annual wellness allowance • Annual productivity allowance • Team events, all-company updates, and employee resource groups • Catered lunches and stocked micro-kitchens at offices in the Bay Area, Austin, Columbus, and New York City

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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