Twitter Cortex | SF or US-based Remote | FULLTIME | Sr. Applied ML/NLP Engineer
The Natural Language Processing (NLP) Signals team is part of Cortex, the central machine learning organization at Twitter. Cortex’s mission is to empower internal teams to efficiently leverage machine learning by providing platform, modeling and research expertise while advancing the ML technologies within Twitter.
We tackle Twitter specific challenges in the NLP domain such as the real-time, ever changing nature of our data and limited context. We apply and advance state of the art natural language processing techniques to invent new models and systems that can be used to improve various Twitter experiences for our customers.
Requirements:
- Post-graduate or PhD in Computer Science or Machine Learning related degree with a focus on NLP; or equivalent work experience in the field
- 3+ years NLP applied research experience, preferably experience applying NLP research to real-world problems 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
If you are interested in joining a team at the intersection of NLP and product 
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