Senior Machine Learning Engineer

Where you’ll work:

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.    

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 - you would be:

• Build and maintain scalable batch and near real-time data pipelines using PySpark, SQL, Airflow, Databricks, and AWS services  

• Work with structured and semi-structured datasets using modern lakehouse/data platform architectures  

• Ensure data quality, reliability, observability, and operational stability across pipelines  

• Design and operate production ML systems for use cases such as recommendations, churn prediction, anomaly detection, and usage intelligence  

• Work across the ML lifecycle including:  

• feature engineering  

• model training and evaluation  

• batch / real-time inference  

• monitoring and retraining  

• Build and maintain practical MLOps workflows including deployment, model versioning, monitoring, and rollback strategies  

• Partner with Product, Marketing, Sales, Platform, and Engineering teams to translate business problems into scalable ML solutions  

• Contribute to architecture discussions around scalability, performance, reliability, and cost optimization  

• Mentor engineers and contribute to engineering best practices 

What We’re Looking For

As a Senior ML Engineer, your background will look like

• 5+ years of experience in data engineering, ML engineering, or backend engineering with exposure to production systems  

• Hands-on experience with PySpark and SQL for large-scale data processing  

• Experience working with Databricks and/or AWS data stack (EMR, EKS, S3, Glue, etc.)  

• Good practical understanding of data pipelines, ETL/ELT workflows, and distributed processing systems  

• Hands-on experience building and deploying ML systems for real business problems (not just POCs or experimentation)  

• Exposure across the ML lifecycle including feature engineering, training, inference, monitoring, and retraining workflows  

• Practical exposure to MLOps concepts such as deployment pipelines, model versioning, monitoring, and production debugging  

• Strong debugging and problem-solving skills in production environments  

• Ability to work across data pipelines, ML systems, and production workflows with strong ownership.

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)

Core Hiring Principle 

We are NOT hiring a pure Data Engineer or pure Data Scientist 
We are hiring someone who can build and own ML systems in production 

What Success Looks Like 

• Building reliable ML pipelines and systems  

• Operating ML workflows in production  

• Collaborating across data, product, and engineering teams  

• Taking practical engineering decisions with strong ownership. 

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.

What We Offer 

At GoTo, we care about helping our people succeed at work and feel supported in life. Our employee benefits and programs are designed to support your well-being, growth, and sense of belonging. Here's what you can expect as part of our team:

·         Comprehensive health benefits

·         Generous paid time off, including paid holidays, volunteer days, quarterly self-care days, and company-designated no-meeting days 

·         Tuition reimbursement and access to instructor-led and on-demand learning and development programs

·         The Thrive Global Wellness Program, a confidential Employee Assistance Program (EAP), a wellness app and one-on-one wellness coaching 

·         Employee-led communities and programs, including Employee Resource Groups (ERGs), GoTo Gives, and charitable matching

We work hard to create an environment where everyone feels welcome, respected, and able to contribute. Building a culture of belonging isn't just something we talk about - it's part of how we work every day.

Specific benefits and offerings may vary by country in line with local regulations and market practices.

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.