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- Зарплата
- 288 000 $
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Staff Machine Learning Engineer
Оценка ИИОтличное предложение от топового финтеха с высокой базовой зарплатой, акциями (RSU) и сильным социальным пакетом. Работа в Пало-Альто над передовыми задачами AI Core обеспечивает высокий престиж и профессиональный рост.
Сложность вакансии
Оценка ИИРоль уровня Staff требует не только глубоких знаний в области Deep Learning (Transformers, GNN), но и способности руководить сложными исследовательскими проектами, влияющими на бизнес-стратегию всей компании. Высокие требования к опыту (5-7+ лет) и навыкам менторства делают эту позицию крайне ответственной.
Анализ зарплаты
Оценка ИИПредложенная базовая зарплата в $288,000 находится на верхнем уровне рыночного диапазона для Staff MLE в районе Пало-Альто. С учетом RSU и бонусов совокупный доход значительно превышает средние показатели по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Staff Machine Learning Engineer position at Nubank. With over 7 years of experience in applied AI and a proven track record of deploying complex Deep Learning architectures into production, I am drawn to Nubank's mission of fighting complexity and your commitment to using state-of-the-art Foundation Models to drive critical decision systems.
In my previous roles, I have led research initiatives focusing on Transformers and GNNs, successfully bridging the gap between experimental research and scalable MLOps environments. I am particularly impressed by Nubank's hybrid approach to innovation and its recognition as one of the world's most innovative companies. I am confident that my technical leadership and expertise in PyTorch and large-scale experimentation will allow me to contribute significantly to the AI Core team and mentor senior engineers toward achieving ambitious business results.
Составьте идеальное письмо к вакансии с ИИ-агентом
Откликнитесь в nubank уже сейчас
Присоединяйтесь к команде Nubank в Пало-Альто и создавайте будущее финансовых технологий на основе Deep Learning!
Описание вакансии
About Us
Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.
Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.
Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/
About the role
At AI Core, we are scaling the impact of our AI initiatives to become the primary driver of Nubank’s most critical decision systems. We are seeking Machine Learning Engineers to lead high-impact research projects that bridge the gap between state-of-the-art AI and production-grade financial systems. You will be responsible for solving complex, ambiguous problems using Deep Learning and Foundation Models, ensuring our architectures are scalable, efficient, and driving measurable business results.
As an Machine Learning Engineer (MLE), you’re expected to:
- Research Execution & Technical Leadership (Complexity & Autonomy)
- Lead and execute complex applied research initiatives independently, focusing on building and optimizing architectures (e.g., Transformers, GNNs) that can be deployed across critical use cases like Credit, RecSys, GenAI, and real-time inference.
- Address difficult and ambiguous modeling problems that require coordination across various stakeholders (Data, Infra, Product), delivering innovative solutions with a clear focus on medium-term impact.
- Bridge the gap between research and production by designing architectures that respect MLOps constraints, ensuring models are optimized for latency, interpretability, and cost-efficiency.
- Strategic Impact & Collaboration (Impact)
- Develop and deliver innovative solutions that address project-level challenges, focusing on pushing the latest platform and AI research improvements into downstream production models.
- Actively participate in cross-functional collaborations, ensuring that research outputs are seamlessly integrated into Nubank's decision-making engines.
- Establish technical standards within the AI Core team for experimentation, model evaluation, and code quality, inspiring peers to raise their performance.
- Mentorship & Function Contribution (Function Contribution)
- Serve as a technical mentor for senior engineers and researchers, providing guidance on deep learning fundamentals, problem formulation, and research methodology.
- Actively contribute to the function's growth by participating in mandatory activities like hiring (interview panels) and leading internal task forces to improve our ML lifecycle.
- Contribute to thought leadership by participating in research collaborations or internal papers that align with Nubank’s strategic goals.
What are we looking for?
- Professional Experience: 5-7+ years in applied AI/ML, with a proven track record of delivering research-driven systems into production environments
- Technical Mastery:
+ Deep expertise in Deep Learning architectures (Transformers, Multimodal, or GNNs).
+ Strong coding skills in Python and proficiency with frameworks like PyTorch, JAX, or TensorFlow.
+ Solid understanding of MLOps and the constraints of deploying models at scale.
- Problem Solving: Sophisticated skills in ML problem formulation and the ability to navigate uncertainty when data is messy or unavailable.
- Communication: Ability to communicate complex technical concepts to both technical peers and cross-functional stakeholders, ensuring alignment and buy-in.
- Analytical Capacity: Experience with large-scale experimentation and A/B testing to validate research hypotheses.
Our Benefits
- Opportunity of earning equity at Nu
- Total compensation includes base salary, RSUs and benefits. Base salary: $288.000
- Medical Insurance
- Dental and Vision Insurance
- Life Insurance and AD&D
- Extended maternity and paternity leaves
- Nucleo - Our learning platform of courses
- NuLanguage - Our language learning program
- NuCare - Our mental health and wellness assistance program
- Extended maternity and paternity leaves
- 401K
- Saving Plans - Health Saving Account and Flexible Spending Account
- Work-from-home Allowance
- Relocation Assistance Package, if applicable.
Role Location
Palo Alto, CaliforniaHybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/
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Навыки
- Python
- PyTorch
- JAX
- TensorFlow
- Deep Learning
- Transformers
- Graph Neural Networks
- MLOps
- A/B Testing
- Generative AI
Возможные вопросы на собеседовании
Проверка глубины понимания архитектур, указанных в требованиях.
Расскажите о вашем опыте оптимизации архитектур Transformer или GNN для работы в условиях жестких ограничений по задержке (latency) в реальном времени.
Оценка способности кандидата справляться с неопределенностью, упомянутой в описании.
Опишите случай, когда вам приходилось формулировать ML-задачу в условиях отсутствия или сильной зашумленности данных. Каков был ваш подход?
Проверка навыков MLOps и понимания жизненного цикла модели.
Как вы обеспечиваете воспроизводимость и качество кода при переходе от стадии исследования (research) к промышленной эксплуатации (production)?
Оценка лидерских качеств и навыков менторства.
Как вы подходите к менторству старших инженеров и как помогаете команде устанавливать технические стандарты для экспериментов?
Проверка навыков работы с бизнесом.
Как вы оцениваете бизнес-эффект от внедрения новой ML-модели и какие метрики используете для A/B тестирования в финансовых сервисах?
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- Страна
- США
- Зарплата
- 288 000 $