About NetApp

We’re forward-thinking technology people with heart. We make our own rules, drive our own opportunities, and try to approach every challenge with fresh eyes. Of course, we can’t do it alone. We know when to ask for help, collaborate with others, and partner with smart people. We embrace diversity and openness because it’s in our DNA. We push limits and reward great ideas. What is your great idea?

"At NetApp, we fully embrace and advance a diverse, inclusive global workforce with a culture of belonging that leverages the backgrounds and perspectives of all employees, customers, partners, and communities to foster a higher performing organization." -George Kurian, CEO

Job Summary

NetApp is seeking a capable Principal Data & Machine Learning Engineer to join Data Services organization. The overarching vision of this organization is to empower organizations to effectively govern their data estate and build cyber-resiliency while accelerating their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As a key technical leader in this initiative, the Principal Data & Machine Learning Engineer will be responsible for architecting and building data and ML pipelines across the key pillars of data protection, privacy and compliance. The ideal candidate, while overseeing the technical work of 1-3 data and machine learning engineers, will also possess deep subject matter expertise in the areas of AI/ML infrastructure and platforms with a demonstrated history of shipping impactful at-scale AI/ML solutions into production.

Job Requirements

•    Develop and maintain scalable data pipelines for various AI/ML-driven data services, which include ensuring reliable data ingestion, transformation, integration from various sources and maintaining ML feature and deployment pipelines. 
•    Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow for NetApp’s data services.  
•    Build and maintain self-service data exploration and analysis platforms to derive insights from their respective data sources. 
•    Provide guidance and support to data analysts, engineers, scientists, and other stakeholders in leveraging the available data resources effectively. 
•    Oversee ML design reviews, create best practices and playbooks for end-to-end ML systems in production. 
•    Work with a great deal of autonomy and be the technical thought leader in creating a forward-looking vision with clear direction. 
•    Effectively communicate complex technical artifacts to both technical (engineers & scientists) and non-technical audiences
•    Work closely with cross-functional teams including business stakeholders to innovate and unlock new use-cases for our customers that is driven through data intelligence.
•    Participate in cross-functional meetings, workshops, and planning sessions to ensure data engineering activities support the overall objectives across data services and platform initiatives. 
•    Coaching and leadership for data professionals and the broader cross-functional team, helping influence and develop their skills and capabilities by fostering a culture of innovation and continuous learning.
•    Have a strong customer focus and build data products that delight our users. 
•    Represent NetApp as a leader and ambassador in the machine learning community, building relationships with external partners and promoting the company's product capabilities in industry/academic conferences.

Education

•    Master’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field.
•    10+ years of relevant industry experience as a data and machine learning engineer, with a strong track record of shipping successful AI/ML products at scale. 
•    3+ years’ experience building data/feature pipelines and deployments for ML models across various domains in AI/ML (NLP preferred). 
•    High-level understanding of supervised and unsupervised machine learning algorithms and 5+ years of experience shipping them in production.
•    Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization.

Preferred Qualifications:
•    PhD in Computer Science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field.
•    3+ years’ experience in technically leading a team of data and machine learning engineers.
•    Experience building pipelines for end-to-end AI/ML model deployment in the areas of security and/or privacy and/or compliance.
•    Ability to represent the company as a thought leader in the data engineering community.
•    High level understanding of deep learning approaches, preferably in the area of Natural Language Processing

Did you know…
Statistics show women apply to jobs only when they’re 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you.

Why NetApp?

In a world full of generalists, NetApp is a specialist. No one knows how to elevate the world’s biggest clouds like NetApp. We are data-driven and empowered to innovate. Trust, integrity, and teamwork all combine to make a difference for our customers, partners, and communities. 
 
We expect a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off per year to volunteer with their favorite organizations.  We provide comprehensive medical, dental, wellness, and vision plans for you and your family.  We offer educational assistance, legal services, and access to discounts. We also offer financial savings programs to help you plan for your future.  
 
If you run toward knowledge and problem-solving, join us.