Member of Technical Staff (Machine Learning Research Engineer) at Perplexity · Web3Vacancy
Jobs Companies Blog About Contact
Post a job
Analysing Your CV...
Extracting your experience, skills, and details...
No longer accepting applicationsThis role at Perplexity has closed. Browse live web3 jobs instead.
Get Discovered

No applications. Teams find and message you directly.

Get discovered. Join the talent poolNo account needed→
No account needed. Teams find you and reach out directly.

Member of Technical Staff (Machine Learning Research Engineer)

Office
Market range (est.) $90k–$180k
◆ 6/10 aitechML Engineeroffice
About this role

Perplexity is looking for a Machine Learning Research Engineer to advance search technologies focusing on retrieval and ranking. Join us in Berlin for a full-time role.

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.

Responsibilities
  • Relentlessly push search quality forward — through models, data, tools, or any other leverage available
  • Architect and build core components of the search platform and model stack
  • 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
  • Conduct advanced research in representation learning, including contrastive learning, multilingual, and multimodal modeling for search and retrieval
  • Deploy models — from boosting algorithms to LLMs — in a scalable and performant way
  • Build and optimize RAG pipelines for grounding and answer generation
  • Collaborate with Data, AI, Infrastructure, and Product teams to ensure fast and high-quality delivery
Requirements
  • Deep understanding of search and retrieval systems, including quality evaluation principles and metrics
  • Proven track record with large-scale search or recommender systems
  • Strong proficiency with PyTorch, including experience in distributed training techniques and performance optimization for large models
  • 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)
  • Self-driven, with a strong sense of ownership and execution
  • Minimum of 3 years (preferably 5+) working on search, recommender systems, or closely related research areas
Job Details
Market range (est.)$90k–$180k
LocationOffice
AI Score★★★★★★☆☆☆☆ 6/10
PostedSep 23, 2026 (19d ago)
Tags & Skills
aitechML Engineeroffice
Tech Stack
Machine LearningDeep LearningPyTorchSearch TechnologiesRetrieval Systems

Similar Web3 Jobs

Browse Crypto Job Vacancies

The #1 Web3 Job Board for Crypto Jobs & Blockchain Careers

Web3Vacancy is the leading web3 job board for blockchain developers, DeFi engineers, smart contract auditors, NFT product managers, DAO operators, ZK researchers, and Web3 growth leads. We aggregate 2,400+ remote-first crypto jobs from top protocols, decentralized exchanges, layer-2 networks, AI-blockchain startups, and Web3 studios worldwide. Whether you are hiring or looking for your next blockchain job, Web3Vacancy is the go-to job board for the decentralized economy.

Find web3 jobs across every skill level and specialization. Solidity developers, Rust engineers, Move programmers, ZK circuit engineers, tokenomics designers, crypto legal counsel, Web3 community managers, and blockchain data analysts all find their next role here. New crypto job listings are added daily across Ethereum, Solana, Polygon, Arbitrum, Base, Cosmos, Sui, Aptos, and every emerging blockchain ecosystem.

Looking to start a web3 career? Explore our guides on web3 salaries, blockchain interview questions, and the top web3 companies hiring in 2026. New to blockchain? Start with our What Is Web3 guide and learn web3 development from scratch. Employers can post a web3 job.