PyTorch Jobs

15 PyTorch jobs currently listed

Browse 15 open positions that require PyTorch experience. Every listing is analyzed to extract 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 has been processed to extract 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.

Datadog Posted today

AI Research Engineer - Datadog AI Research (DAIR)

Paris, France

Hybrid
Python PyTorch JAX Megatron-LM DeepSpeed +6 English
Datadog Posted today

AI Research Engineer – Datadog AI Research (DAIR)

New York, USA

Hybrid
Python PyTorch JAX Megatron-LM DeepSpeed +6 English
$140.000–400.000 /year
Databricks Posted 1 day ago

Staff Machine Learning Engineer

San Francisco, California

On-site
Python TensorFlow PyTorch English
$190.000–285.000 /year
Databricks Posted 1 week ago

Sr. Developer Advocate, Databricks AI Agentic Systems

San Francisco, California

On-site
Python PyTorch scikit-learn LangChain LlamaIndex +6 English
$153.000–210.450 /year
Databricks Posted 1 week ago

Sr. Developer Advocate, Databricks AI Agentic Systems

Bellevue, Washington

On-site
Python PyTorch scikit-learn LangChain LlamaIndex +6 English
$145.400–199.850 /year
Databricks Posted 1 week ago

AI Engineer - FDE (Forward Deployed Engineer)

London, United Kingdom

HuggingFace LangChain DSPy pandas scikit-learn +4 English
Databricks Posted 2 weeks ago

AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector

Maryland; Virginia; Washington, D.C.

Remote
HuggingFace LangChain DSPy pandas scikit-learn +4 English
$180.656–248.360 /year
Databricks Posted 2 weeks ago

AI Engineer - FDE (Forward Deployed Engineer)

United States

Remote
HuggingFace LangChain DSPy pandas scikit-learn +4 English
$180.656–248.360 /year
Databricks Posted 3 weeks ago

AI Engineer - FDE (Forward Deployed Engineer)

Canada

Remote
HuggingFace LangChain DSPy pandas scikit-learn +4 English
CAD162.400–223.384 /year
Databricks Posted 3 weeks ago

Data Science Architect - Professional Services

Paris, France

scikit-learn PyTorch TensorFlow Spark Python +5 English
Databricks Posted 3 weeks ago

AI Engineer - FDE (Forward Deployed Engineer)

Melbourne, Australia | Sydney, Australia

Remote
HuggingFace LangChain DSPy pandas scikit-learn +4 English
Databricks Posted 3 weeks ago

AI Engineer - FDE (Forward Deployed Engineer)

Munich, Germany | Paris, France | Amsterdam, Netherlands

Hybrid
HuggingFace LangChain DSPy pandas scikit-learn +4 English (fluent)
Databricks Posted 3 weeks ago

AI Engineer - FDE (Forward Deployed Engineer)

Remote - India

Remote
HuggingFace LangChain DSPy pandas scikit-learn +4 English
Databricks Posted 3 weeks ago

Sr. Machine Learning Engineer

San Francisco, California

On-site
Python TensorFlow PyTorch English
$164.200–205.200 /year
Databricks Posted 3 weeks ago

Senior GenAI Research Engineer - Optimization and Kernels

San Francisco, California

CUDA Python PyTorch PyTorch DDP DeepSpeed +4 English
$166.000–225.000 /year

Frequently Asked Questions

How many PyTorch jobs are available right now?
There are currently 15 open positions that list PyTorch as a required skill. This number updates daily as we ingest new job postings from company career pages.
How do you know a job requires PyTorch?
We analyze every job description to extract 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.
Can I filter out jobs that use certain technologies?
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.
Are salary ranges accurate?
When a company includes salary in their job posting, we use that directly. Otherwise, we extract 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.