About the Role

What You'll Do

• Design and deliver software and tools to productionize the ML solutions at scale.
• Building scalable and shareable ML components, such as retrieval and ranking ML systems to support various ML use cases within Rider.
• Working closely with ML-Infrastructure teams and driving efficiencies in systems and processes through automation: configuration management, performance tuning, monitoring and root cause analysis.
• Helping setup the right tech / tools / processes to speed up experimentation velocity
• Participate in periodic on-call rotations and be available for critical issues

Basic Qualifications

• Bachelor’s degree in Computer Science or related technical field or equivalent practical experience
• Experience coding using general purpose programming language (eg. C/C++, Java, Python, Go, C#, or Javascript)

Preferred Qualifications

• At least ten (10) years of software engineering experience
• A strong focus on execution, delivery, and customer impact.
• Knowledge of professional software engineering practices & influencing engineering excellence within your team across the entire development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Proven experience with distributed computing and enterprise-wide systems
• Proven experience working with ML models, technologies, and large scale retrieval and ranking systems
• Experience taking a leading role in building complex software systems that have been successfully delivered to customers