Requirements

Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Demonstrated experience driving change within an organization and leading complex technical projects
Programming experience in a relevant language

Nice to Haves

Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
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 integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Masters degree or PhD in Computer Science or a related technical field
Understanding of information retrieval concepts, such as indexing, querying, and ranking
Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques

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