Machine Learning Research Engineer (Member of Technical Staff)

Perplexity, a cutting-edge technology company focused on advanced search technologies. As a Machine Learning Research Engineer, you will play a key role in building and optimizing our search platform and model stack. You will design, train, and optimize large-scale deep learning models, conduct advanced research in representation learning, and collaborate with various teams to ensure high-quality delivery.

Responsibilities

• Architect and build core components of the search platform and model stack, focusing on retrieval and ranking.
• Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training and hardware acceleration.
• Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval.

Requirements

• The ideal candidate will have a minimum of 3 years of experience in search or recommender systems, strong proficiency in PyTorch, and a proven track record in large-scale search or recommender systems.
• Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas
• Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models
• Proven track record with large-scale search or recommender systems
• Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
• Self-driven, with a strong sense of ownership and execution

Preferred

• Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications
• Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR)