Natural Language Processing (NLP) Engineer at Quod AI
Do you want to learn from industry leaders and kickstart your career in AI?
Do you want to work on something exciting, challenging and impactful?
Quod AI is a young and exciting AI/NLP start-up with an unmatched team of engineers and scientists. We’re applying Deep Learning and NLP on source code to empower software engineering teams to develop software products faster and better. We want to revolutionize the way software products are built and to accelerate innovation worldwide. We are funded and backed by SGInnovate and Entrepreneur First.
Our CEO is a well recognized thought leader and speaker on AI and Software Engineering. He is an ex Silicon Valley CTO with 10+ years of experience in the US. He is also an advisor and mentor for organizations such as the IBM AI XPRIZE, PlatoHQ (YC’16), RMIT, AngelHack and more.
Our Chief Scientist is an is an award winning mathematical physicist. He is an expert at modeling complex systems (weather, neurobiological systems, real estate and more). His research background has led him to create AI & NLP models at prestigious institutions (UCL, NTU Complexity Institute & Polytechnique Paris) which were used by world renowned organizations (NASA & MAS).
Work closely with our data scientists and software architects to develop and maintain our core product.
Evaluate and analyze existing and construct new data sets to generate fundamental insights or be used to train NLP models.
Develop highly scalable code that leverages natural language processing and rules based models that integrates into our data pipeline.
Adapt and deploy, evaluate and improve NLP models (Python, Tensorflow, Jupyter notebook).
Work on the implementation of new features, leaving things properly implemented, well documented and delivered on time.
Always be on the lookout for opportunities to create and improve. From our development process, up to final user’s experiences.
Knowledge, Skills and Abilities
Experience with NLP.
Solid skills with Python.
Solid experience using state of the art deep learning methods, for example building neural networks including DNNs, RNNs, bLSTMs, GRUs and/or a publication record in the area.
Relevant experience with AWS or Google Cloud.
Superior analytical, conceptual and problem-solving skills.
The ability to learn and iterate quickly.
An obsession with agile and lean principles (GitHub, Trello).
Education and Experience
Strong verbal and written communication skills in English.
3 month minimum commitment
Full time position
Salary at market rate