Requirements:
- Post-graduate or PhD in Computer Science, EE, or Machine Learning related degree with a focus on NLP, Recommendation System, Voice, Time-Series; or equivalent work experience in the field
- 3+ years applied research experience in the industry
- Experience in building production ML models and understanding of inference challenges at scale
- Good theoretical grounding in core machine learning concepts and techniques
- Ability to perform comprehensive literature reviews and provide critical feedback on state-of-the-art solutions and how they may fit to different operating constraints
- Experience with a number of ML techniques and frameworks, e.g., data discretization, normalization, sampling, linear regression, decision trees, SVMs, deep neural networks, etc.
- Familiarity with one or more deep learning software frameworks such as Tensorflow, PyTorch
- Strong communication skills, both oral and written.
- Excellent analytical, organizational, and time management skills.
