Preference Model tech stack
Preference Model builds mostly with Python, C++, Mojo. Its stack also includes Anthropic, JAX, PyTorch, CUDA Toolkit. Anthropic is named in 5 of the 5 job postings Preference Model published in the last 12 months (100%). Counted by Alion from the job postings of Preference Model, updated Oct 11, 2026.
What programming languages does Preference Model use?
Python is named in 80% of job postings at Preference Model, followed by C++ (20%), Mojo (20%).
What frameworks and libraries does Preference Model use?
JAX is named in 80% of job postings at Preference Model, followed by PyTorch (80%), CUDA (60%), Triton (60%).
JAX
4 80%
PyTorch
4 80%
SGLang
2 40%
NumPy
1 20%
Show all (9)
What cloud and platforms does Preference Model use?
Anthropic is named in 100% of job postings at Preference Model, followed by CUDA Toolkit (60%), AWS (40%), GCP (40%).
What developer tools does Preference Model use?
Formal Verification is named in 20% of job postings at Preference Model, followed by LLVM (20%), OpenSSL (20%), TPU (20%).
What AI and ML technologies does Preference Model use?
Claude is named in 100% of job postings at Preference Model, followed by LLM (80%).
Which engineering practices does Preference Model ask for?
Machine Learning is named in 80% of job postings at Preference Model, followed by Reinforcement Learning (60%), Post-training (40%), HPC (20%).
What does each Preference Model team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
5 postingsHow does your stack fit Preference Model?
How is the Preference Model 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 Preference Model stack?
Preference Model scores 79 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: 2; legacy ones: 0.
How common is the Preference Model stack in its industry?
Share of the 238 companies in the same industries, whose stack Alion knows, that use each technology.
Companies with a stack like Preference Model
Questions about the Preference Model tech stack
What programming languages does Preference Model use?
The languages named in Preference Model job postings are Python (80%), C++ (20%), Mojo (20%), as a share of the 5 postings of the last 12 months.
Does Preference Model use JAX?
Yes. JAX is named in 4 of 5 job postings (80%) and required in 4 of them.
What cloud and platforms does Preference Model use?
The cloud and platforms named in Preference Model job postings are Anthropic (5), CUDA Toolkit (3), AWS (2) (postings in brackets).
What skills do you need for a AI/ML job at Preference Model?
AI/ML postings at Preference Model most often require JAX (4), LLM (4), PyTorch (4), Python (4), out of 5 postings in the last 12 months.
Is the Preference Model tech stack changing?
Yes. Post-training, SGLang, vLLM first appeared in Preference Model job postings in the last six months.
How modern is the Preference Model tech stack?
Preference Model scores 79 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: 2; legacy ones: 0.
How does Alion know the Preference Model tech stack?
Alion reads every job posting Preference Model publishes and tags the technologies each one names. The figures on this page count the 5 postings of the last 12 months and were updated on Oct 11, 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, "Preference Model tech stack: 29 technologies from 5 job postings", as of Oct 11, 2026. https://alion.io/company/preferencemodel/technologies