About the job
We are seeking exceptional individuals to join our team as full-time Research Scientists. In this role, you will drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions. Your work will involve exploring and applying state-of-the-art AI/ML techniques—including LLM pretraining, fine-tuning, and robust offline experimentation—while developing production-ready systems.
Responsibilities
Drive applied research by conceptualizing, designing, implementing, and validating innovative algorithmic solutions; explore and apply state-of-the-art AI/ML techniques—including LLM pretraining, fine-tuning, and robust offline experimentation; develop production-ready systems.
Qualifications
Minimum
Ph. D or Masters in Computer Science, or any of the related fields; 6+ years of research experience with a track record of delivering quality results; Deep expertise in machine learning, including both supervised and unsupervised learning, and practical experience in LLM development; Demonstrated success in applying LLMs and other Foundation Models to real-world challenges, preferably with experience in post-training LLMs, including fine-tuning and distillation; Strong software engineering skills; Required: Python, TensorFlow, PyTorch
Preferred
Proven experience as a technical leader; Skilled in collaborating with cross-functional teams; Research publications in peer-reviewed journals and conferences on relevant topics; Hands-on experience in distributed training, reinforcement learning-based training of LLMs, conversational agents, and Personalization; Proficiency with cloud computing platforms and large web-scale distributed systems; Applied research experience in industrial settings; Contributions to open source contributions; Experience in one or more of the following areas: search, natural language processing, knowledge graphs, conversational agents, personalization, and reinforcement learning