Weekday (YC W21)
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
STEM Researcher – Computational Fields
Job not on LinkedIn
🔥 2 hours ago
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Weekday (YC W21)
11 - 50 employees
Founded 2021
💼 Consulting
👥 HR Tech
☁️ SaaS
Consulting • HR Tech • SaaS
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
📋 Description
• Design complex, research-oriented benchmark tasks inspired by real-world scientific workflows, including study design, experimentation, hypothesis testing, and data analysis. • Develop comprehensive reference solutions using Python, notebooks, and computational tools with the rigor expected in professional research. • Define clear evaluation standards that distinguish sound scientific reasoning from plausible but incorrect conclusions. • Review AI-generated solutions, identifying methodological weaknesses, analytical errors, and flawed reasoning that experienced researchers would recognize immediately. • Collaborate with AI researchers and fellow domain experts to improve benchmark quality, consistency, and scientific rigor. • Contribute to the continuous refinement of evaluation methodologies for advanced AI systems.
🎯 Requirements
• Master's degree, PhD, or equivalent practical experience in a STEM discipline, computational social science, computational humanities, or another research-intensive field involving programming and data analysis. • Minimum 1 year of experience in an active research role within academia, industry, government laboratories, or a similar research environment. • Demonstrated experience performing computational research involving Python, data analysis, simulation, modeling, machine learning, or scientific computing. • Strong understanding of experimental design, hypothesis testing, statistical analysis, and rigorous interpretation of research findings. • Working knowledge of Git, integrated development environments (IDEs), and notebook platforms such as Jupyter or Google Colab. • Experience with AI evaluation, benchmark development, AI training, or task authoring is preferred. • Excellent analytical thinking, attention to detail, creativity, and the ability to solve complex, open-ended problems independently. • Strong written communication skills for documenting technical methodologies and research findings. • Ability to commit approximately 35 hours per week on a consistent basis.
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