Senior Machine Learning Engineer

Job Summary

We are seeking a skilled ML Engineer or ML Platform Engineer with 3+ years of experience in building distributed systems. This role involves developing and maintaining ML pipelines, deploying low-latency, highly scalable, containerized microservices, and collaborating with cross-functional teams to integrate ML models into Chargebee's products. Ideal candidates will have strong coding ability in Python, experience with big data technologies like Spark, and a solid understanding of performance optimization across the full data pipeline. Key technologies include AWS, Python, Java, Spark, S3 lakehouse, Airflow, Starrocks.

About the Company

Chargebee is the leading Revenue Growth Management (RGM) platform for subscription businesses. Thousands of companies at every stage of development — from startups to enterprises — use Chargebee to unlock revenue growth, experiment with new offerings and monetization models, and maintain global compliance as they scale.

Chargebee counts businesses like Freshworks, Calendly, and Study.com amongst its global customer base and is proud to have been named a Leader in Subscription Management by G2 for five consecutive years, as well as a Great Place to Work in both the United States and India.

We are backed by some of the most respected investors in the world; Accel, Tiger Global, Insight Partners, Steadview Capital, and Sapphire Venture, who believe in the magic of subscriptions and the world that they can create — from cars to coffee pods and everything in between. With headquarters in San Francisco and Amsterdam, our 1000+ team members work remotely throughout the world, including in India, Europe and the US.

Company Culture

We are Globally Local

With a diverse team across four continents, and customers in over 60 countries, you get to work closely with a global perspective right from your own neighborhood.

We value Curiosity

We believe the next great idea might just be around the corner. Perhaps it's that random thought you had ten minutes ago. We believe in creating an ecosystem that fosters a desire to seek out hard questions, and then figure out answers to them.

Customer! Customer! Customer!

Everything we do is driven towards enabling our customers growth. This means no matter what you do, you will always be adding real value to a real business problem. It's a lot of responsibility, but also a lot of fun!

Key Responsibilities

• Build and maintain ML pipelines that operationalize machine learning models
• Develop and deploy low-latency, highly scalable, containerized (Docker) microservices
• Participate in cross-functional design sessions to architect solutions to shared engineering challenges
• Partner with software engineers, data engineers, and data scientists to build and integrate ML models into Chargebee's products
• Build and improve internal ML platform tooling to accelerate development, deployment, and monitoring of models in production

Requirements

• 3+ years of experience building distributed systems
• Prior experience on an ML team or ML platform team
• Experience building both batch and streaming data solutions
• Strong coding ability in at least one language (Python preferred), with familiarity with common ML libraries
• Hands-on experience with big data technologies such as Spark, SparkML, or Hadoop
• Solid understanding of performance optimization across the full data pipeline, including model inference
• A self-starter mindset — comfortable with shifting priorities and building processes from scratch with minimal guidance
• Strong experience collaborating with diverse stakeholders across teams

Our Tech Stack

AWS, Python, Java, Spark, S3 lakehouse, Airflow, Starrocks

Benefits

Want to know what it means to work for a company that genuinely cares about you? Check out just a few of the benefits we give our employees:

• Unlimited PTO, Parental leave
• Accident, Life and medical insurance
• Employee assistance program for mental wellness
• Work from home allowance
• Gratuity