Faculty tech stack
Faculty builds mostly with Python, TypeScript, JavaScript, Rust. Its stack also includes Kubernetes, AWS, PyTorch, TensorFlow. Python is named in 37 of the 56 job postings Faculty published in the last 12 months (66%). Counted by Alion from the job postings of Faculty, updated Sep 30, 2026.
What programming languages does Faculty use?
Python is named in 66% of job postings at Faculty, followed by TypeScript (11%), JavaScript (7%), Rust (5%).
C++ 
What frameworks and libraries does Faculty use?
PyTorch is named in 39% of job postings at Faculty, followed by TensorFlow (34%), Scikit-learn (21%), NumPy (7%).
PyTorch
22 39%
TensorFlow
19 34%
Scikit-learn
12 21%
NumPy
4 7%
Pandas
4 7%
React.js
4 7%
Vue.js
3 5%
FastAPI
2 4%
Show all (11)
What cloud and platforms does Faculty use?
Kubernetes is named in 45% of job postings at Faculty, followed by AWS (45%), Azure (43%), GCP (41%).
Kubernetes
25 45%
AWS
25 45%
Azure
24 43%
GCP
23 41%
GitLab CI
2 4%
GitLab
1 2%
Show all (9)
What developer tools does Faculty use?
Docker is named in 46% of job postings at Faculty, followed by Terraform (7%), CloudFormation (4%), Git (2%).
What AI and ML technologies does Faculty use?
LLM is named in 2% of job postings at Faculty.
LLM
1 2%
Which engineering practices does Faculty ask for?
Machine Learning is named in 71% of job postings at Faculty, followed by Edge AI (32%), Red Teaming (23%), AI Agents (20%).
AI Agents
11 20%
CI/CD
5 9%
NLP
3 5%
Show all (14)
What does each Faculty team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
21 postingsBackend
10 postingsData Science
7 postingsSolutions
4 postingsHow does your stack fit Faculty?
How is the Faculty 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 Faculty stack?
Faculty scores 81 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: 1; legacy ones: 0.
How common is the Faculty stack in its industry?
Share of the 1,761 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Faculty
WorldQuant
38 shared technologies
Jinendra infotech pvt
39 shared technologies
Tower Research Capital
38 shared technologies
Clarity Innovations
38 shared technologies
The Reliable Jobs
38 shared technologies
Virtue AI
40 shared technologies
Accellor
40 shared technologies
Elevance Health
38 shared technologies
Questions about the Faculty tech stack
What programming languages does Faculty use?
The languages named in Faculty job postings are Python (66%), TypeScript (11%), JavaScript (7%), Rust (5%), C++ (4%), as a share of the 56 postings of the last 12 months.
Does Faculty use PyTorch?
Yes. PyTorch is named in 22 of 56 job postings (39%) and required in 22 of them.
What cloud and platforms does Faculty use?
The cloud and platforms named in Faculty job postings are Kubernetes (25), AWS (25), Azure (24) (postings in brackets).
What skills do you need for a AI/ML job at Faculty?
AI/ML postings at Faculty most often require Python (18), PyTorch (15), Kubernetes (13), TensorFlow (13), out of 21 postings in the last 12 months.
Is the Faculty tech stack changing?
Yes. Time Series Forecasting first appeared in Faculty job postings in the last six months.
How modern is the Faculty tech stack?
Faculty scores 81 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: 1; legacy ones: 0.
How does Alion know the Faculty tech stack?
Alion reads every job posting Faculty publishes and tags the technologies each one names. The figures on this page count the 56 postings of the last 12 months and were updated on Sep 30, 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, "Faculty tech stack: 47 technologies from 56 job postings", as of Sep 30, 2026. https://alion.io/company/faculty/technologies