QA/Test Engineer

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

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

• Join a pioneering AI initiative focused on building the next generation of evaluation benchmarks for frontier AI models. • Ensure every benchmark is reliable, reproducible, and accurately measures real AI capabilities. • Review complex, multi-step evaluation tasks, validate their correctness, identify edge cases, and strengthen testing methodologies before benchmarks are deployed. • Collaborate closely with AI researchers and task authors to improve evaluation quality, eliminate ambiguity, and ensure benchmark integrity.

🎯 Requirements

• Master's degree, PhD, or equivalent practical experience in a STEM discipline involving software engineering, research, or advanced technical problem solving. • Minimum 1 year of professional experience in Quality Assurance, Test Engineering, Software Engineering, Research Engineering, or a related technical field with strong quality ownership. • Proven experience designing test cases, validating complex software systems, and debugging end-to-end workflows. • Strong proficiency in Python and Git, with the ability to troubleshoot unfamiliar codebases and technical environments. • Excellent analytical thinking, problem-solving skills, and exceptional attention to detail. • Experience documenting bugs, test strategies, and technical findings with clear written communication. • Experience evaluating AI systems, machine learning models, or AI-generated outputs is preferred. • Ability to work independently while managing multiple complex tasks with minimal supervision. • Ability to commit approximately 35 hours per week on a consistent basis.