Machine Learning, NLP Expert

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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 cutting-edge AI research initiative and help shape the next generation of frontier AI models. • Contribute technical expertise toward training and evaluating advanced AI systems. • Design challenging, real-world machine learning and natural language processing tasks. • Create high-quality reference solutions and assess AI model performance to identify reasoning gaps and improve overall capabilities. • Develop accurate reference solutions and integrate tasks into agentic development environments using **Python**. • Build executable evaluation frameworks and testing components where appropriate. • Evaluate AI model outputs for technical correctness, reasoning quality, and overall performance. • Identify capability gaps, classify model failure modes, and provide detailed written analyses. • Create and refine evaluation guidelines, scoring rubrics, and quality standards for ML and NLP tasks. • Collaborate with fellow subject matter experts to ensure consistency, accuracy, and high-quality training data.

🎯 Requirements

• Deep hands-on experience in **Machine Learning** and/or **Natural Language Processing** through industry, research, or graduate/PhD-level work. • Strong proficiency in **Python** with practical experience developing ML or NLP applications. • Strong understanding of modern machine learning techniques, including: • - Model Training and Evaluation • - Transformer Architectures • - Large Language Models (LLMs) • - NLP Pipelines • - Feature Engineering and Model Optimization • Experience with industry-standard frameworks such as **PyTorch**, **TensorFlow**, **Hugging Face Transformers**, or equivalent. • Ability to commit approximately **20 hours per week**. • Excellent written communication skills and the ability to work independently in a remote environment. • **Preferred Qualifications** • Experience in AI model evaluation, AI training data creation, or human-in-the-loop model assessment. • Familiarity with Retrieval-Augmented Generation (RAG), vector databases, embedding models, or multimodal AI systems. • Experience building benchmarking frameworks, automated evaluation pipelines, or testing infrastructure. • Contributions to open-source ML/NLP projects or published research are a plus. • Experience working with production-scale machine learning systems.