Machine Learning Researcher

Working at Thinking Machines

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.

Role Description

This is an opportunity for someone with a strong portfolio of work in machine learning to do great work in the company of a high-performance team. This job demands creativity, critical thinking, and a focus on delivering excellent work. You’ll be expected to effectively handle projects from day one, and will be provided with effective guidance as you learn and implement machine learning methods for our clients and internal products.

This role is open for both entry level and experienced applicants. We will level you based on your relevant experience, body of work, and exam results.

We’re a growing startup with constantly evolving responsibilities, and the following is an incomplete but representative list of things you can expect to be doing:

Requirements

We’re looking for someone who meets the following profile:

Qualifications and Competencies

Benefits and Perks

We offer the following compensation and benefits:

How to Apply

If you fit this profile and we sound like the kind of people you want to work with, fill up the form below with your information and resume. After submitting the form, please expect an email from us within the next 15 minutes, detailing the next steps for your application. If you do not receive an email from us, please contact [email protected]

STORIES

Advanced Statistical Concepts for A/B Testing and Experimentation

We tackle some of the nitty-gritty, advanced statistical concepts that must be addressed by statisticians and data scientists when adopting A/B testing in practice.

The Business Case for A/B Testing

One of the biggest promises of data science is for business owners and executives to be able to understand the causal relationships and fundamental drivers that underpin their business. Find out how A/B tests can be leveraged to do just that and why you should.

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