Requirements

8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Demonstrated experience driving change within an organization and leading complex technical projects

Nice to Haves

6+ years relevant experience building large-scale applications or similar experience
Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
Experience in programming languages such as C, C++, Java, Swift, or Kotlin, and scripting languages such as Python, Javascript, or Hack
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to solve ambiguous problems, and propose process and technical improvements in a dynamic, fast moving organization
Experience designing automated pipelines that generate synthetic training data or evaluation tasks
Experience building verifiable environments and quality controls for AI training data, including test harnesses, automated graders, contamination detection and taxonomy coverage

Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding