thinkers needed

We’re looking for problem solvers with a passion for data.
Be part of a dynamic data science startup that’s results-oriented,
civic-minded, and invests in the growth of every person on the team.

Thinking Machines is a data science startup. Our vision is for the Philippines to become a global hub for data science. To do that, we create data science cultures, one organization at a time.

We’re a company made up of intellectually curious, civic-minded, forever-learning individuals. We believe that great data science products are built with care for people, and that the best way to drive inclusive innovation is to start with a diverse team.

Our field of work is incredibly dynamic, so we want to work with people who are committed to growing with us. We want to hire people who can demonstrate an ability to learn, then provide them with personalized coaching, growth opportunities, and a great working environment to get them to world-class.

FULL-TIME OPPORTUNITIES

GIS Analyst

Process, analyze, and visualize geographical data to solve various spatial problems

apply now

Machine Learning Researcher

Architect full machine learning products with our cross-functional teams.

apply now

Data Engineer

Collect, store, and guard the lifeblood of our organization—data.

apply now

Data Strategist

Formulate, pitch, and execute data-driven business decisions.

apply now

Data Visualization Developer

Turn complex data into convincing stories and cool visualizations.

apply now

Data Analyst

Be exposed to all aspects of data science and find your specialization.

apply now

Operations Associate

Support the company's operations as we enter hypergrowth

apply now
STORIES

Can machine learning and satellite imagery help improve humanitarian aid to Venezuelan migrants?

A hard life awaits millions of Venezuelan migrants seeking refuge in neighboring Colombia.

Querying Safely in the (Google) Cloud

Programming in BigQuery may feel very light, but do you have a safety net for when the cloud goes down?

What’s the story? How we taught a deep learning model to understand the topics in thousands of online articles

We built a deep learning word embeddings model that learns nuanced topic relationships by reading the news.