Design advanced problems in algorithms, systems, theory, machine learning, or computational methods
Create code-first and reasoning-heavy tasks that challenge state-of-the-art AI systems
Submit complete and verified solutions, including programmatic approaches when needed
Develop multi-part tasks that mirror real technical and research workflows
Ensure problems are deterministic, rigorous, and reproducible
Write clearly and precisely in English

Requirements

Bachelor's, Master’s or PhD in Computer Science or a related field
Strong research or industry experience in computational problem-solving
Strong Python skills; experience with scientific or ML tooling is a plus
Excellent understanding of algorithms, complexity, numerical methods, and software-based workflows
Ability to create hard, original problems beyond standard interview-style questions
Strong written communication and attention to detail
Experience in machine learning, formal methods, distributed systems, optimization, or scientific computing (nice to have)
Experience with benchmarking, evaluations, or technical assessment creation (nice to have)
Familiarity with advanced libraries, solvers, or symbolic systems (nice to have)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonalgorithmscomplexitynumerical methodsmachine learningcomputational problem-solvingoptimizationscientific computingformal methodsdistributed systems

Soft Skills

written communicationattention to detail