GoToSenior ML Engineer (Data Platform)
Job Description
Where you’ll work: Remote / Bangalore
Engineering at GoTo
We’re trailblazers in remote work technology—building powerful, flexible solutions that empower everyone to live their best life, both at work and beyond. With us, you’ll have the opportunity to chart new paths and help redefine how the world works. For us, AI isn’t just a buzzword; it’s a tool we use to deliver real, practical value to our customers and teams. We focus on solving meaningful problems, not just adding features for the sake of using AI. Here, growth takes many forms: you can expand your skills, take on new challenges, lead initiatives, and explore creative ideas. Join a GoTo product team and play a key role in transforming the workplace for millions of users worldwide—your work will truly make a difference.
Your Day to Day
As a Senior ML Engineer (Data Platform)- you would be:
Design, build, and optimize scalable batch and near real-time data pipelines using PySpark, SQL, Airflow, and Databricks/AWS
Develop and maintain data models for structured and semi-structured datasets
Work with Delta Lake / Lakehouse architectures for large-scale data processing
Ensure data quality, observability, and reliability across pipelines
Participate in architecture discussions on scalability, performance, and cost optimization
Design and build end-to-end ML systems in production (not just models) for SaaS use cases like churn, recommendations, and anomaly detection
Own the ML lifecycle - Feature engineering pipelines, Model training and evaluation, Batch / real-time inference, Monitoring and retraining
Build and maintain MLOps pipelines, including model versioning, deployment, monitoring, and rollback
Integrate ML models into data platforms and downstream applications with reliability and observability
Partner with Product, Marketing, Sales, and Platform teams to translate business problems into scalable ML solutions
Mentor engineers and contribute to data and ML engineering best practices
What We’re Looking For
As a Senior ML Engineer (Data Platform), your background will look like
5+ years of experience in data engineering or backend engineering, with ownership of production data systems
Strong hands-on experience in PySpark and SQL for distributed data processing
Experience with Databricks and/or AWS data stack (EMR, EKS, S3, etc.)
Deep understanding of ETL/ELT design, data modeling, and performance optimization
Hands-on experience building and deploying ML systems in production (e.g., churn, recommendations, anomaly detection — not just POCs)
Experience across the ML lifecycle: Feature engineering pipelines, Model training and evaluation, Batch / real-time inference, Monitoring and retraining
Practical exposure to MLOps practices, including model versioning, deployment pipelines, and performance monitoring
Strong debugging and problem-solving skills in production environments.
The position requires a combination of GenAI/LLM knowledge along with solid expertise in data engineering and traditional ML systems.
Exposure limited to LLM frameworks, prototypes, or experimentation without production-grade system experience may not meet the scope of this role.
Nice-to-have
Experience building feature pipelines or feature stores
Exposure to streaming systems (Kafka, Spark Streaming, Kinesis)
Experience with CI/CD pipelines for data and ML workflows
Familiarity with data governance frameworks (e.g., Unity Catalog)
Exposure to AI/LLM-based systems (RAG, etc.) as an extension (not primary focus)
What We Offer
At GoTo, we believe in supporting our employees with a comprehensive range of benefits designed to fit your life—at work and beyond. Here are just some of the benefits and perks you can expect when you join our team:
Comprehensive health benefits, life and disability insurance, and fertility and family-forming support program
Generous paid time off, paid holidays, volunteer time off, and quarterly self-care days and no meeting days
Tuition and reading reimbursement programs to support your continuous learning and professional growth
Thrive Global Wellness Program, confidential Employee Assistance Program (EAP), as well as One to One Wellness Coaching
Employee programs—including Employee Resource Groups (ERGs), GoTo Gives, and our charitable matching program—to amplify your connection and impact
GoTo performance bonus program to celebrate your impact and contributions
Monthly remote work stipend to support your home office expenses.
At GoTo, you’ll find the flexibility, resources, and support you need to thrive—at work, at home, and everywhere in between. You’ll work towards a shared goal with an open-minded, cohesive team that’s greater than the sum of its parts. We’re committed to creating an inclusive space for everyone, because we know unique perspectives make us a stronger company and community. Join us and be part of a company that invests in your future, where together we’ll Be Real, Think Big, Move Fast, Keep Growing, and stay Customer Obsessed .Learn more.