Machine Learning Engineer – STEM PhD | Remote

Position: Research Collaborator – STEM PhD Type: W2 | Contingent Role Location: Remote Role Responsibilities • Design challenging, real-world benchmark tasks in domains such as data science, machine learning, finance, and programming. • Integrate designed tasks into an agentic development environment using Python. • Evaluate cross-model performance on benchmark tasks to assess model reasoning and problem-solving ability. • Identify cases where the target model fails to pass defined tests and benchmarks. • Analyze agent trajectories to understand model decision-making processes and extract capability gaps. • Contribute to improving AI model performance across complex STEM problem-solving scenarios. Requirements • Strong expertise in data science, machine learning, finance, or software development. • Deep technical background in advanced STEM topics. • PhD student or recent PhD graduate from a top-tier institution is preferred. • Availability to work 30+ hours per week during weekdays. • Strong Python programming skills. • Experience working with complex technical systems or AI model evaluation environments. Application Process • Upload resume • Interview • Submit form