Sr. Machine Learning Engineer

Company Overview

At Zuora, we do Modern Business. We’re helping people subscribe to new ways of doing business that are better for people, companies, and, ultimately, the planet. It’s an approach resulting from the shift to the Subscription Economy that puts customers first by building recurring relationships instead of one-time product sales and focuses on sustainable growth. Through our leading expertise and multi-product suite, we are transforming all industries and working with the world’s most innovative companies to monetize new business models, nurture subscriber relationships, and optimize their digital experiences.

The Team & Role

The Corporate Data team at Zuora is responsible for building a “data mindset” culture within the company. We aim to maximize the value of our data to improve the customer experience and boost company growth and employee productivity.  Our team includes data engineers and data scientists working closely to design and build complete solutions.

As a Senior Data Scientist on the team, you’ll have the opportunity to:

• Serve as an organizational expert and thought leader on machine learning and AI
• Deepen your knowledge of the customer lifecycle at a B2B company and contribute directly to maximizing revenue and customer retention
• Design and implement ML- and AI-powered products that leverage the wealth of mission-critical subscription, billing, and payment data our customers manage on the Zuora platform
• Gain managerial experience mentoring other data scientists and engineers on topics related to machine learning and AI research and operations

What you’ll do

The business outcomes you will impact include (but are not limited to):

• Improvement of Current Systems:
• Gather metrics on the AI system’s performance and effectiveness.
• Continuously fine-tune & retrain models to ensure the systems remain efficient.
• New Product Feature Development:
• Proactively identify opportunities to enhance our product offerings with machine learning and AI-driven features.
• Lead the design and development of innovative solutions that align with market demands and customer needs.
• Best Practices and Governance:
• Establish and document best practices for training, evaluating, and operating machine learning and AI models.
• Promote a culture of responsible AI and ensure compliance with data privacy regulations.

Your experience and skills

• A master’s or PhD in Computer Science, Statistics, Machine Learning, or a related field.
• At least four years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficiency in machine learning frameworks (e.g., numpy, TensorFlow, PyTorch) and programming languages (Python, R).
• Strong expertise in natural language processing (NLP), sentiment analysis, and predictive modeling.
• Proven track record of developing and deploying machine learning models in production environments.
• Excellent communication and teamwork skills to collaborate effectively with cross-functional teams.
• Ability to lead and mentor junior data scientists and share best practices.
• A passion for staying updated with the latest advancements in data science and AI.

#ZEOLife at Zuora

As an industry pioneer, our work constantly evolves and challenges us in new ways that require us to think differently, iterate often, and learn continually—it’s exciting. Our people, whom we refer to as “ZEOs” are empowered to take on a mindset of ownership and make a bigger impact here. Our teams collaborate deeply, exchange different ideas openly and together we’re making what’s next possible for our customers, community and the world. 

As part of our commitment to building an inclusive, high-performance culture where ZEOs feel inspired, connected, and valued, we support ZEOs with:

• Competitive compensation, corporate bonus programs, and performance rewards, company equity, and retirement programs
• Medical, dental, and vision insurance
• Generous, flexible time off 
• Paid holidays, “wellness” days, and company-wide end-of-year break
• 6 months of fully paid parental leave 
• Learning & Development stipend
• Opportunities to volunteer and give back, including charitable donation match
• Free resources and support for your mental wellbeing  

Specific benefits offerings can be discussed during the interview process.

Location & Work Arrangements

Organizations and teams at Zuora are empowered to design efficient and flexible working methods, being intentional about scheduling, communication, and collaboration strategies that help us achieve our best results. In our dynamic, globally distributed company, this means balancing flexibility and responsibility — flexibility to live our lives to the fullest and responsibility to each other, to our customers, and to our shareholders. This location-specific position requires you to come to the Chennai or Banglore Zuora office at least twice a week on average!

Our Commitment to an Inclusive Workplace

Think, be, and do you! At Zuora, different perspectives, experiences, and contributions matter. Everyone counts. Zuora is proud to be an Equal Opportunity Employer committed to creating an inclusive environment for all.

Zuora does not discriminate based on, and considers individuals seeking employment with Zuora without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may email us at assistance(at)zuora.com.