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Overview
Thinking Machines is a Philippine data science and artificial intelligence consultancy working across Southeast Asia. It builds machine learning systems, geospatial analytics and data platforms for enterprises and governments. The company is known for its data visualisation and public interest research.
News
Learning to Replicate Expert Judgment in Financial Tasks
With expert-labeled data and fine-tuning on Tinker, a custom model outperforms frontier LLMs on financial information-filtering tasks at a fraction of the cost.
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Report
Thinking Machines Lab and NVIDIA Announce Long-Term Gigawatt-Scale Strategic Partnership
Thinking Machines Lab and NVIDIA announce a multi-year strategic partnership to deploy at least one gigawatt of next-generation NVIDIA Vera Rubin systems.
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Report
Audience's Experience Sharing โครงการ AImpower โดยความรวมมอของ Techsauce และ Thinking Machines เสรจสนลงแลวอยางสมบรณ
โครงการ AImpower โดยความรวมมอของ Techsauce และ Thinking Machines เปดคอรสเจาะลกเกยวกบ AI และ Data Science ปดคอรสไปเมอวนท 11 มนาคม 2022 อยางสมบรณ
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Report
Scaling Climate Smart Shrimp in Southeast Asia using GIS and Computer Vision
Mangroves are critical for coastal adaptation to climate change, providing protection from rising sea levels and storm surges while also sequestering carbon. However, like many other forests around the globe, mangroves are threatened by deforestation. One
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Report
Global Ideas: Unlocking your business with AI
Adopting AI (Artificial Intelligence) may be one of the biggest ways to advance a business' digital transformation but at its best, managers should see it as a way to help, not replace workers.
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Report
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Technologies
Tech DNA
Python
SQL
JavaScript
LangChain
Dagster
Django
ElasticSearch
PostgreSQL
AWS
Azure
GCP
LLM
AI/ML
Python
SQL
AWS
Azure
GCP
Trunk-Based Development
Fine-tuning
LangChain
LLM
Prompt Engineering
Transformers
Dagster
ElasticSearch
PostgreSQL
Other
JavaScript
Django
FastAPI
Flask
React.js
Tableau
Stack modernity
84/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
2 jobs
Optional
Azure
2 jobs
Required
AWS
2 jobs
Required
LangChain
1 job
Optional
Fine-tuning
1 job
Required
Prompt Engineering
1 job
Required
Transformers
1 job
Optional
LLM
1 job
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
22%
AWS
18%
JavaScript
17%
SQL
16%
LLM
15%
GCP
14%
Share of companies in the same industry that use each technology.
Stack changes
JavaScript
Aug 2026
Trunk-Based Development
Aug 2026
Tableau
Aug 2026
SQL
Aug 2026
React.js
Aug 2026
PostgreSQL
Aug 2026
GCP
Aug 2026
Flask
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Growth
Hiring Momentum
58/100
Growing
Open positions
2
0 opened / 0 closed in 30 days
ATS activity
Every ~3 days
08/30/2026
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
50% ▲
Backend
50% ▲
Activity Timeline
Added JavaScript to stack
Aug 2026
Added Trunk-Based Development to stack
Aug 2026
Added Tableau to stack
Aug 2026
Added SQL to stack
Aug 2026
Added React.js to stack
Aug 2026
Added PostgreSQL to stack
Aug 2026
Added GCP to stack
Aug 2026
Added Flask to stack
Aug 2026
Added FastAPI to stack
Aug 2026
Added ElasticSearch to stack
Aug 2026
Added Django to stack
Aug 2026
Added Dagster to stack
Aug 2026
Jobs
In office • Full-Time • 2+ years exp • Taguig
Python
Fine-tuning
LangChain
LLM
Prompt Engineering
Transformers
DevOps
AWS
Azure
Apply
In office • Full-Time • 3+ years exp • Taguig
Python
SQL
JavaScript
Django
FastAPI
Flask
Databases
ElasticSearch
PostgreSQL
AI/ML
Dagster
Frontend
React.js
DevOps
AWS
Azure
GCP
Trunk-Based Development
Analytics
Tableau
Apply

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