Staff Machine Learning Enginee · Bengaluru

Staff Machine Learning Engineer (L4) is a delivery-focused opportunity based in Bengaluru, India.

We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.

Key Responsibilities

• We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences
• Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day
• As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding
• Design, build, and improve software systems that support the goals of the Machine Learning Engineer (L4) function.
• Translate product or business requirements into clean, maintainable technical solutions.
• Write high-quality code with appropriate testing, code review, and documentation discipline.
• Collaborate with product, design, QA, and peer engineers to deliver reliable releases.
• Investigate bugs, performance issues, and production risks with a strong root-cause mindset.
• Improve system reliability, observability, and maintainability through thoughtful engineering decisions.
• Contribute to architecture and implementation discussions with pragmatic technical trade-offs.
• Break down complex work into clear milestones and communicate status transparently.
• Refactor and simplify existing code where it improves long-term velocity and quality.

Preferred Qualifications

• Bachelor's degree or equivalent practical experience in computer science, engineering, or a related field.
• Strong coding fundamentals with attention to reliability, performance, and maintainability.
• Experience working with code reviews, testing practices, and collaborative delivery workflows.
• Ability to break down ambiguous problems into clear technical solutions.
• Comfort partnering with cross-functional teams in iterative product or platform environments.
• Strong debugging, communication, and ownership skills across the software lifecycle.

Applications should be submitted through the listed apply link.