Technology Leader

About NetApp

NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people.

If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won't be doing it alone. At NetApp, we're all about asking for help when we need it, collaborating with others, and partnering across the organization - and beyond.

We are seeking a highly experienced and innovative Technology Leader to drive our Artificial Intelligence (AI) and Machine Learning (ML) initiatives. This role will be pivotal in shaping our AI/ML strategy, leading complex technical projects, and providing thought leadership in Data Science and Generative AI

As a senior technical expert, you will work hands-on with cutting-edge technologies, mentor teams, and collaborate across product, engineering, and research functions to deliver impactful AI-driven solutions.

• Lead the design and development of advanced AI/ML models, with emphasis on Generative AI applications.
• Define technology roadmaps, best practices, and standards for AI/ML adoption across the organization.
• Partner with cross-functional teams to integrate AI/ML solutions into products and services.
• Mentor junior and mid-level engineers/data scientists, fostering a culture of innovation and excellence.
• Stay ahead of emerging trends in AI, ML, and Data Science, and evaluate their potential impact.
• Drive proof-of-concept projects from ideation to deployment.

Critical Requirements

• 10+ years of experience in AI/ML and Data Science, with at least 3+ years in a leadership capacity.
• Proven expertise in Generative AI (LLMs, diffusion models, transformers, etc.).
• Strong background in statistical modelling, deep learning, and large-scale data processing.
• Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face Transformers.
• Proficiency in Python and experience with cloud-based AI services (AWS, Azure, GCP).
• Track record of delivering AI/ML solutions in production environments.
• Excellent communication, collaboration, and stakeholder management skills.

• Advanced degree (Master's or PhD) in Computer Science, AI/ML, Data Science, or related field.
• Experience working in global, matrixed organizations.
• Publications or patents in AI/ML research.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.

Why NetApp?

We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.

If you want to help us build knowledge and solve big problems, let's talk.

Submitting an application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.