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, data scientists, and machine learning engineers working closely to design and build complete solutions.

As a Machine Learning Engineer on the team, you'll have the opportunity to:

• 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.
• Evaluate and improve model accuracy, scalability, and performance using appropriate metrics at the industry scale.
• Research and experiment with cutting-edge ML techniques and optimize model performance to enhance existing and new "smart" products.
• Deepen your knowledge of the customer lifecycle at a B2B company and contribute directly to maximizing revenue and customer retention.
• Collaborate with product teams, data engineers, and customer success teams to create end-to-end solutions that scale in production.

What you’ll do

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

• Improvement of Current Systems:
• Gather metrics on the performance and effectiveness of the current product.
• 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

• Bachelor’s or Master’s in Computer Science, Statistics, Machine Learning, or a related field.
• 1-5 years of relevant technical experience as a Data Scientist, Machine Learning Engineer, or Sofware Engineer
• Exposure to relevant business domains, including sales, marketing, subscription management, accounts receivable, payment processing, and product analytics.
• Proficiency in python and common machine learning frameworks such as scikit-learn
• Solid understanding of software development life cycle and software engineering principles
• Experience with one or more subfields - sentiment analysis, predictive modeling, etc.
• Understanding of the machine learning pipeline for deployment and production
• Excellent communication and teamwork skills to collaborate with cross-functional teams.
• 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 and exchange different ideas openly. 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, performance rewards, company equity, and retirement programs
• Medical 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 and 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, our customers, and our shareholders. This location-specific position requires you to come to the Chennai or Banglore Zuora office at least twice a week on average!

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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 requiring special assistance or accommodation during the interview process or while accessing our website may email us at assistance(at)zuora.com.