DeepSpeed Jobs
12 DeepSpeed jobs currently listed
Browse 12 open positions that require DeepSpeed experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
Senior AI Researcher - Pre-training (f/m/d)
Heidelberg, Germany - English
AI Engineer | BEES Personalization
English
Machine Learning Research Engineer
Berlin, Germany - English
Research Engineer (LLM Training and Performance)
Amsterdam, Netherlands +10 - English
Staff Research Engineer (LLM Pre-Training)
Amsterdam, Netherlands +10 (Remote) - English
Senior MLOps Engineer (ML Workflows Engineering)
Amsterdam, Netherlands +9 (Remote) - English
Staff Software Engineer, Simulation ML Infrastructure
London, United Kingdom - English
Senior Research Engineer - Video Foundation Models (Pre - Training)
London, United Kingdom (Remote) - English
Senior Performance Engineer- Pretraining (f/m/d)
Heidelberg, Germany - English
Member of Technical Staff, Training Engineer (Large Scale Foundation Models)
English
Multimodal Generative AI Researcher
English
Senior ML Systems Engineer, Frameworks & Tooling
London, United Kingdom (Remote) - English
Frequently Asked Questions
- There are currently 12 open positions that list DeepSpeed as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find DeepSpeed jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.