{"active":true,"apply_url":"https://jobs.ashbyhq.com/perplexity/1a3df802-9238-4827-ab1f-12a9d1e4b81c/application","company":{"claimed":false,"name":"Perplexity","slug":"perplexity","website":"https://www.perplexity.ai"},"countries":["DE"],"employment_type":"full-time","first_seen_at":"2026-10-15T12:23:43Z","getwork_url":"https://getwork.dev/jobs/ab-perplexity-1a3df802-9238-4827-ab1f-12a9d1e4b81c/","id":"ab-perplexity-1a3df802-9238-4827-ab1f-12a9d1e4b81c","injection_flag":false,"last_seen_at":"2026-10-28T19:30:10Z","location":"Berlin; Germany","published_at":"2026-09-23T10:22:32Z","regions":["europe"],"remote":"onsite","role_family":"ml","salary":null,"seniority":"unspecified","stack":["pytorch","llm"],"stack_mentioned":[],"title":"Member of Technical Staff (Machine Learning Research Engineer)","untrusted_description":"Perplexity is seeking an experienced Machine Learning Research Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking.\n\nResponsibilities\n\n- Relentlessly push search quality forward — through models, data, tools, or any other leverage available\n\n- Architect and build core components of the search platform and model stack\n\n- Design, train, and optimize large-scale deep learning models using frameworks like PyTorch, leveraging distributed training (e.g., PyTorch Distributed, DeepSpeed, FSDP) and hardware acceleration, with a focus on retrieval and ranking models\n\n- Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval\n\n- Deploy models — from boosting algorithms to LLMs — in a scalable and performant way\n\n- Build and optimize RAG pipelines for grounding and answer generation\n\n- Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery\n\nQualifications\n\n- Deep understanding of search and retrieval systems, including quality evaluation principles and metrics\n\n- Proven track record with large-scale search or recommender systems\n\n- Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models\n\n- Expertise in representation learning, including contrastive learning and embedding space alignment for multilingual and multimodal applications\n\n- Strong publication record in AI/ML conferences or workshops (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, SIGIR)\n\n- Self-driven, with a strong sense of ownership and execution\n\n- Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas","url":"https://jobs.ashbyhq.com/perplexity/1a3df802-9238-4827-ab1f-12a9d1e4b81c"}