Responsibilities
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
Minimum Qualifications
• 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
• Programming experience in a relevant language
• Demonstrated experience driving change within an organization and leading complex technical projects
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Preferred Qualifications
• Masters degree or PhD in Computer Science or a related technical field
• Experience with inference infrastructure, model evaluations, agent runtime, or synthetic data generation a plus
• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
• Understanding of information retrieval concepts, such as indexing, querying, and ranking
• Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
• Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
