---
title: "Member of Technical Staff (Machine Learning Research Engineer)"
company: "Perplexity"
company_url: "https://www.remjobs.works/companies/perplexity"
url: "https://www.remjobs.works/job/perplexity-member-of-technical-staff-machine-learning-research-engineer-82652c07-a7f9-4f98-9317-103d98d1e051"
apply_url: "https://jobs.ashbyhq.com/perplexity/1a3df802-9238-4827-ab1f-12a9d1e4b81c"
workplace: onsite
location: "Berlin"
employment_type: full-time
seniority: staff
role: ai-machine-learning
region: europe
skills: ["llm", "pytorch"]
date_posted: 2026-09-23T10:22:32.773Z
first_seen_by_remjobs: 2026-09-23T10:36:33.017Z
---

# Member of Technical Staff (Machine Learning Research Engineer)

**Perplexity** · Berlin

Apply: https://jobs.ashbyhq.com/perplexity/1a3df802-9238-4827-ab1f-12a9d1e4b81c

## About Perplexity

Perplexity LLC is an Executive Coaching firm for SME

## About the role

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**Qualifications**

- 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

---

Source: Perplexity's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/perplexity-member-of-technical-staff-machine-learning-research-engineer-82652c07-a7f9-4f98-9317-103d98d1e051