PyTorch Jobs
225 PyTorch jobs currently listed
Browse 225 open positions that require PyTorch 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.
VLM Research Engineer (m/f/d)
Berlin, Germany - English
(Senior) Staff Research Scientist | Voice
Munich, Germany - English
Research Scientist (Engineering)
San Francisco, United States (Remote) - English
Autonomy Engineer - Deep Learning
Zurich, Switzerland - English
Senior ML Systems Engineer, Frameworks & Tooling
London, United Kingdom (Remote) - English
Lead Machine Learning Engineer
London, United Kingdom - English
ML Data Engineer
London, United Kingdom - English
AI Platform Engineer
English
Member of technical staff (Inference)
Paris, France - English
Senior Research Scientist - AI Safety
London, United Kingdom - English
Senior Machine Learning Engineer
London, United Kingdom - English
Senior Software Engineer - Machine Learning
English
Senior Machine Learning Engineer, NLP
London, United Kingdom - English
Senior Research Scientist - Music
London, United Kingdom (Remote) - English
Research Scientist - Music
London, United Kingdom (Remote) - English
Senior Research Scientist - Music
New York, United States (Remote) - English
Research Scientist - Music
New York, United States (Remote) - English
AI Scientist - Zurich
Zurich, Switzerland - English
Member of Technical Staff - Inference
San Francisco, United States (Remote) - English
Research Engineer, Foundation Model
Berlin, Germany - English
Frequently Asked Questions
- There are currently 225 open positions that list PyTorch 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 PyTorch 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.