Pluralis Research tech stack
Pluralis Research builds mostly with Python. Its stack also includes PyTorch, AWS, GCP, DeepSpeed. PyTorch is named in 7 of the 14 job postings Pluralis Research published in the last 12 months (50%). Counted by Alion from the job postings of Pluralis Research, updated Oct 22, 2026.
What programming languages does Pluralis Research use?
Python is named in 43% of job postings at Pluralis Research.
Python
6 43%
What frameworks and libraries does Pluralis Research use?
PyTorch is named in 50% of job postings at Pluralis Research, followed by DeepSpeed (14%), FSDP (14%), Megatron-LM (14%).
What cloud and platforms does Pluralis Research use?
AWS is named in 14% of job postings at Pluralis Research, followed by GCP (14%), vLLM (14%), Agora (7%).
Agora 
Show all (9)
What developer tools does Pluralis Research use?
CloudFormation is named in 7% of job postings at Pluralis Research, followed by Docker (7%), Prometheus (7%), Pulumi (7%).
What AI and ML technologies does Pluralis Research use?
LLM is named in 29% of job postings at Pluralis Research, followed by ChatGPT (14%), Claude (14%), Qwen (14%).
Which engineering practices does Pluralis Research ask for?
Post-training is named in 71% of job postings at Pluralis Research, followed by Pre-training (29%), Machine Learning (14%), RLHF (14%).
RLHF
2 14%
Reinforcement Learning
2 14%
Platform Engineering
1 7%
What does each Pluralis Research team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
12 postingsHow does your stack fit Pluralis Research?
How is the Pluralis Research stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the Pluralis Research stack?
Pluralis Research scores 83 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.
How common is the Pluralis Research stack in its industry?
Share of the 1,695 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Pluralis Research
Questions about the Pluralis Research tech stack
What programming languages does Pluralis Research use?
The languages named in Pluralis Research job postings are Python (43%), as a share of the 14 postings of the last 12 months.
Does Pluralis Research use PyTorch?
Yes. PyTorch is named in 7 of 14 job postings (50%) and required in 7 of them.
What cloud and platforms does Pluralis Research use?
The cloud and platforms named in Pluralis Research job postings are AWS (2), GCP (2), vLLM (2) (postings in brackets).
What skills do you need for a AI/ML job at Pluralis Research?
AI/ML postings at Pluralis Research most often require PyTorch (7), Python (6), AWS (2), DeepSpeed (2), out of 12 postings in the last 12 months.
Is the Pluralis Research tech stack changing?
Yes. ChatGPT, Claude, AWS, GCP first appeared in Pluralis Research job postings in the last six months.
How modern is the Pluralis Research tech stack?
Pluralis Research scores 83 out of 100 (Cutting-edge). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 4; legacy ones: 0.
How does Alion know the Pluralis Research tech stack?
Alion reads every job posting Pluralis Research publishes and tags the technologies each one names. The figures on this page count the 14 postings of the last 12 months and were updated on Oct 22, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "Pluralis Research tech stack: 33 technologies from 14 job postings", as of Oct 22, 2026. https://alion.io/company/pluralis/technologies