Snorkel AI tech stack
Snorkel AI builds mostly with Python, SQL, Node JS, TypeScript. Its stack also includes AWS, Azure, Ray, Scikit-learn. Python is named in 19 of the 49 job postings Snorkel AI published in the last 12 months (39%). Counted by Alion from the job postings of Snorkel AI, updated Sep 27, 2026.
What programming languages does Snorkel AI use?
Python is named in 39% of job postings at Snorkel AI, followed by SQL (10%), Node JS (4%), TypeScript (4%).
What frameworks and libraries does Snorkel AI use?
Ray is named in 8% of job postings at Snorkel AI, followed by Scikit-learn (8%), PyTorch (6%), Dagster (4%).
Ray
4 8%
Scikit-learn
4 8%
PyTorch
3 6%
Dagster
2 4%
LangChain
2 4%
Streamlit
2 4%
CrewAI
2 4%
FAISS
2 4%
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What databases does Snorkel AI use?
Chroma is named in 4% of job postings at Snorkel AI, followed by Weaviate (4%), Amazon Redshift (2%), Snowflake (2%).
What cloud and platforms does Snorkel AI use?
AWS is named in 14% of job postings at Snorkel AI, followed by Azure (8%), GCP (8%), Kubernetes (6%).
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What developer tools does Snorkel AI use?
Terraform is named in 10% of job postings at Snorkel AI, followed by Rest API (6%), Mypy (4%), Azure Data Factory (2%).
Terraform
5 10%
Rest API
3 6%
Mypy
2 4%
CircleCI
1 2%
Docker
1 2%
GraphQL
1 2%
HashiCorp Vault
1 2%
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What AI and ML technologies does Snorkel AI use?
LLM is named in 39% of job postings at Snorkel AI, followed by Claude (2%), LoRA (2%), PEFT (2%).
Which engineering practices does Snorkel AI ask for?
Machine Learning is named in 29% of job postings at Snorkel AI, followed by AI Agents (22%), Human-in-the-Loop (18%), Synthetic Data (16%).
AI Agents
11 22%
Synthetic Data
8 16%
CI/CD
7 14%
Fine-tuning
7 14%
Reinforcement Learning
6 12%
Rollup
5 10%
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What does each Snorkel AI team work with?
The technologies each team's postings require most often, with the number of postings that require them.
AI/ML
8 postingsSolutions
6 postingsBackend
4 postingsHow does your stack fit Snorkel AI?
How much does Snorkel AI pay by technology?
Median stated pay of the postings that name each technology, against the median of all Snorkel AI postings with stated pay: $300k across 45 postings.
| Technology | Postings with pay | Median | vs company median |
|---|---|---|---|
| LLM | 18 | $318k | +6% |
| Python | 18 | $300k | 0% |
| AWS | 6 | $310k | +3% |
| SQL | 5 | $320k | +7% |
How is the Snorkel AI 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 Snorkel AI stack?
Snorkel AI scores 85 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 Snorkel AI stack in its industry?
Share of the 278 companies in the same industries, whose stack Alion knows, that use each technology.
Snorkel AI products in its job postings
Postings at Snorkel AI name its own products. They describe what the company makes, so they are left out of the stack above.
Companies with a stack like Snorkel AI
Questions about the Snorkel AI tech stack
What programming languages does Snorkel AI use?
The languages named in Snorkel AI job postings are Python (39%), SQL (10%), Node JS (4%), TypeScript (4%), JavaScript (4%), as a share of the 49 postings of the last 12 months.
Does Snorkel AI use Ray?
Yes. Ray is named in 4 of 49 job postings (8%) and required in 1 of them.
What cloud and platforms does Snorkel AI use?
The cloud and platforms named in Snorkel AI job postings are AWS (7), Azure (4), GCP (4) (postings in brackets).
What skills do you need for a AI/ML job at Snorkel AI?
AI/ML postings at Snorkel AI most often require LLM (4), Python (2), out of 8 postings in the last 12 months.
Is the Snorkel AI tech stack changing?
Yes. Computer Use, Tool Use, Azure, SIEM first appeared in Snorkel AI job postings in the last six months.
How modern is the Snorkel AI tech stack?
Snorkel AI scores 85 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 Snorkel AI tech stack?
Alion reads every job posting Snorkel AI publishes and tags the technologies each one names. The figures on this page count the 49 postings of the last 12 months and were updated on Sep 27, 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, "Snorkel AI tech stack: 105 technologies from 49 job postings", as of Sep 27, 2026. https://alion.io/company/snorkel-ai/technologies