Job Summary
Develop challenging technical tasks and adversarial engineering problems that assess the abilities of advanced AI models. Evaluate model performance and investigate bottlenecks in machine learning infrastructure, delivering actionable feedback to guide improvements in model capabilities.
Responsibilities
- Create complex technical evaluations and adversarial engineering challenges for advanced AI models.
- Assess model performance against these tasks and identify areas that limit effectiveness.
- Analyze bottlenecks across ML infrastructure and provide structured feedback to support capability improvements.
Qualifications
- At least two years of professional experience in ML systems, infrastructure, or accelerator performance engineering.
- Practical expertise in one or more of the following: kernel programming, profiling tools, or debugging distributed workloads.
Weekday AI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
