Machine Learning Scientist
Machine Learning Scientist
Posted 11 days ago
SENIORITY
Senior
About the role
- Apply supervised and semi-supervised machine learning techniques on a variety of problems using our large dataset of spontaneous real-world face data
- Experiment with deep architectures for the sensing and modeling of emotion
- Prototype new forms of emotion sensing
- Contribute to our core in-market SDK codebase
- Other duties as assigned
- A Masters/PhD degree in EE/Computer Science with specialization in machine learning, deep learning, computer vision or related areas.
- Demonstrated experience (publications, projects) solving machine learning problems
- Solid background and experience in "large-scale" machine learning methods, including, but not limited to, self-taught learning, transfer learning, co-training, and one-shot methods, as well as feature learning and deep convolutional architectures
- Execute ideas effectively and efficiently
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
