Senior ML 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 & RoleDo you like being part of a team that is at the cutting edge of technological and business transformation? Do you enjoy facing new challenges, ambiguous, hard problems? Here at Zuora Platform tech, you will get the opportunity to mold your own projects using cutting edge technology, learn a great deal about multiple areas of the business, and generate true customer value.

In this role, you will not only influence but also directly transform how an entire section of the global economy works, through total monetization. As a core member of the AIMS team (AI, ML and science), you will be responsible for leveraging the latest AI technologies to enable total monetization for Zuora. Opportunities lie across the suite of Zuora products and beyond, to enable commerce, grow Zuora’s customer base, launch exciting new products/features, and to use AI to build, improve and optimize. The domain that we operate in provides access to hard problem statements that combine technical data science, statistical and/or econometric knowledge with business expertise-e.g. price optimization, demand sensitivity, forecasting, segmentation analyses, optimization through experimentation and cutting edge gen AI.

Our Tech Stack: Java, Spring, Rest API, Microservices, Kafka, Spark, NodeJS, AWS, Kubernetes, Terraform, AngularJS 

What you’ll do

1. Identify $ opportunities- think big picture, work with product, tech and customer-facing teams to identify the largest customer problems that can be solved using ML. Build business cases through a combination of market research and internal analytics
2. Stakeholder relationships and strong communication- work closely with a wide variety of stakeholders to build cohesive plans and execute them. Influence senior leadership through a data-driven approach, including but not limited to market research, customer case studies and pilots/experimentation.
3. Technical expertise, simplify complexity- build end to end ML models, be it classification/ unsupervised/ LLMs using a combination of structured and unstructured data. Work with upstream data engineering and software engineering teams to procure, process and transform data into meaningful features. Focus on the data engineering aspect of the model building lifecycle. Always work backwards from the customer, to identify the simplest feasible solutions that can add maximum value.
4. End to end ownership, delivering results- Particular focus on the ML engineering aspect of the model building lifecycle is required. Take models into production and maintain them through effective ML engineering, demonstrate tangible business value, and deliver solutions rather than products.

Qualifications- 

1. 7+ years of experience in the data science/machine learning domain, preferably with hands-on end-to-end model building experience
2. Strong data/ML engineering background, with experience in building and maintaining ETL pipelines, data modeling, data warehousing concepts, and familiarity with Big Data techniques to take models to production.
3. Curious mind to learn, explore and identify biggest customer opportunities
4. Build strong relationships across both technical and business/product teams, earn trust with leadership
5. Driven towards forming opinions and conclusions through data and experimentation, rather than anecdotes and hearsay
6. Willingness to dive deep into the tech stack as well as hands-on coding
7. Experience in building end to end ML models, across the ML lifecycle
8. Strong communication and leadership presence
9. Technical skills- hands on with scripting required, with knowledge or willingness to learn tools/softwares. Knowledge of R, SQL, Python, Statistical modeling, experience with AWS/Azure/GCP ML suite
10. Experience in the following domains/industries preferred- SaaS, ecommerce, pricing or payments
11. Bachelors/Masters in a technical or natural sciences domain from a top university

Even if you feel like you meet some, but not all of the qualifications, we would love it if you take the time to apply to the role. As we evolve and scale up a relatively new team, we strongly believe that a diverse team structure will accelerate progress towards our objectives.

#ZEOLife at Zuora

As an industry pioneer, our work is constantly evolving and challenging us in new ways that require us to think differently, iterate often and learn constantly—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 program and 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 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 may vary by country and can be viewed in more detail during your interview process.

Location & Work Arrangements

Organizations and teams at Zuora are empowered to design efficient and flexible ways of working, 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. For most roles, we offer the flexibility to work both remotely and at Zuora offices.

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 on the basis of, and considers individuals seeking employment with Zuora without regards 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 contact us by sending an email to assistance(at)zuora.com.