Machine Learning Engineer II
We’re looking for talented machine learning engineers with applied experience in Machine Learning (ML), artificial intelligence (AI) to work on confidential projects that utilize the latest techniques in ML (especially Deep Learning and Reinforcement Learning), Computer Vision and Natural Language Processing.
As an ML engineer, you‘ll work with a small and high-impact team, collaborating closely with company’s principal research scientists who are mainly Ph.D.s and senior researchers from top universities, translating exciting research ideas into robust and scalable AI product that is revolutionary. We have a grand dream where all students get personalized and professional attention and tutoring, and we seek inspiring and motivated minds to achieve it together.
Responsibilities:
- Lead/supervise implementation of ML models
- Lead/supervise execution of experiments
Requirements:
Technical excellence:
Satisfactory understanding of theory and detail of ML method (proof: independently implement from scratch and successfully train an ML model from recent literature in one of those libraries)
Solid familiarity & comprehension of mainstream ML library (e.g. torch/pytorch/tensorflow)
Domain specialty:
Master's degree or equivalent course experience in Machine Learning (Classical ML, Deep Learning, Optimization, Linear Algebra, Algorithm/Probability Analysis)
Graduate-level area of expertise in NLP/Vision/RL (proof: familiarity with topics contained in a modern graduate textbook)
Leadership:
Able to lead and coordinate teamwork with minimal supervision
One-year or above full-time working experience in AI/CV/Robotics/NLP/ML companies