Job Description
<h3>π Description</h3> β’ Weβre a stealth startup on a mission to redefine how people interact with AI in their daily lives.
β’ As a founding ML researcher, youβll drive foundational research and innovation in ML methodologies that power our core experiences.
β’ Conduct cutting-edge research in large language models (LLMs), natural language processing, personalization, and related areas.
β’ Explore, develop, and implement novel ML techniques and algorithms to enhance model performance and scalability.
β’ Collaborate closely with ML engineers and product teams to bridge theoretical insights and production-ready models.
β’ Publish findings in top-tier conferences and journals, and maintain active involvement in the ML research community.
β’ Identify and leverage emerging research trends to drive continuous innovation within the company. <h3>π― Requirements</h3> β’ Ph.D. (preferred) or Masterβs in Computer Science, Machine Learning, Artificial Intelligence, or related fields
β’ 2+ years of research experience focused on ML, deep learning, NLP, or related areas
β’ Strong expertise in Python and research-oriented ML frameworks like PyTorch, TensorFlow, HuggingFace, or JAX
β’ Proven track record of publications at top conferences or journals (NeurIPS, ICLR, ICML, ACL, EMNLP)
β’ Deep understanding of state-of-the-art LLM techniques, reinforcement learning from human feedback (RLHF), prompt engineering, or related methods
β’ Excellent analytical thinking, problem-solving skills, and the ability to communicate complex concepts clearly <h3>ποΈ Benefits</h3> β’ Meaningful equity and competitive salary
β’ Opportunity to fundamentally influence product and research strategy
β’ Collaborative, intellectually simulating environment with small, driven team
β’ Remote-first, flexible working arrangements
β’ Potential to shape and lead a growing research team as the company scales