Lead Applied Scientist - ML Ops Focus New USA - Remote

Nubank; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Nubank, a leading digital financial platform, is seeking a Lead Applied Scientist focused on ML/AI Ops. This remote position involves overseeing the deployment of models and driving the AI agenda across the company. The ideal candidate will have experience in ML Ops and applied AI research to leverage data in improving financial services.

Qualifications

• 5+ years on an applied AI/ML team with delivery of models to production.
• Experience in MLOps across various use cases (fraud, risk, recommendations).
• Experience in a leading-edge AI Research organization is a plus.

Responsibilities

• Lead vision for enabling AI Platform to support multiple models in production.
• Oversee model deployment, monitoring, versioning, and lifecycle management.
• Collaborate with teams to ensure platform empowers ML Engineers.

Skills

Deep Learning

Model Deployment

Real-time Models

Experimentation

A/B Testing

Education

Undergraduate/Master’s from a top university or PhD

Job description

Lead Applied Scientist - ML/AI Ops Focus

USA - Remote

About Nubank:

Nubank is one of the largest digital financial platforms in the world, serving over 118 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 1# Most Innovative Company in Finance, and Forbes World’s Best Bank

About AI Core:

AI Core is a horizontal applied AI group, established in July 2024 with the acquisition of Hyperplane. Our goal is to advance Nubank’s progress toward becoming an AI-first bank by leveraging Nubank’s first-party data to power better decision-making and financial experiences. Our research areas include User Behavior Modeling, Causal Modeling, Recommendation Systems, and Gen AI/Agents. Our initial effort is to deploy large-scale transaction-based Foundation Models across Nubank’s decision engines to drive business impact.

Position Summary:

We are seeking a Lead Applied Scientist to lead our efforts in scaling the number of models deployed to production using our AI Platform over the next year. Furthermore, we plan to expand our modeling efforts beyond predictive, offline, batch models to use cases such as real-time models and Generative models. The ideal candidate will have several years of experience in ML Ops and Applied ML Research and will lead the vision for how our AI Platform can soon support dozens of models in production.

Responsibilities:

• Lead a vision for how to enable our AI Platform to support dozens of models in production.
• Oversee model deployment, monitoring, versioning, and lifecycle management.
• Work closely with partner teams (Platform, Infra, Data) to ensure the platform empowers ML Engineers across Nubank.
• Collaborate with the AI Research team to improve research efficiency and effectively deploy findings to customer models.
• Undertake new AI Research projects, utilizing a deep understanding of model deployment constraints and opportunities.
• Lead a team as the area expert

Requirements:

• Education: Undergraduate/Master’s in a top university or PhD.
• Experience: 5+ years of experience on an applied AI/ML team with experience delivering models to production.
• Industry/Segment and Area Knowledge: MLOps and Applied ML across a variety of use cases (fraud, risk, recommendations, targeting, etc)
• Technical Skills: Deep Learning, model deployment, real-time models, experimentation, and A/B testing.
• Language: English; Portuguese/Spanish is a plus but definitely not required. We offer language services for individuals interested in learning!

Bonus Points

• Experience in a leading edge AI Research organization exploring never developed Transformer, MTL, MLM, DCNv2, NTP solutions

Key Responsibilities:

• Lead a vision for model deployment, monitoring, versioning, and lifecycle management.
• Collaborate with partner teams to build a platform that empowers ML Engineers.
• Work with the AI Research team to improve research efficiency and deployment.
• Take on, or contribute to, new AI Research projects when appropriate

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