At Destygo we are building self-learning AI. Our bots are learning to fine-tune their understanding of natural language and to give more precise answers on their own, without human intervention. We are in the world of reward estimation and reinforcement learning, tackling real life challenges with industry-grade software engineering and cutting edge research.
You will be working on our systems from model conception to deployment, watching our bots getting better over time as they talk to more and more users, and improving your models from these real-world experiments.
Join us to live the thrill felt by those on the Apollo program. It is too late to build the first rocket to bring humans to the moon, don’t miss building the first industry-grade self-learning conversational intelligence!
Your responsibilities will include:
You will also participate in our research meetings where we conceive and challenge our general NLU algorithms before actually implementing them.
Your work in data science will include:
Our algorithm and back-end APIs are written in Python 3, and our models are using tensorflow, keras and scikit-learn. You will also need to know basic Unix commands to manage the virtual machines hosting your server.
This position requires a background in both software engineering and machine learning. We’re looking for candidates with at least five years experience in software engineering and a few years experience in machine learning.
We don’t require you to be familiar with every technology listed above. Instead, we’re looking for candidates that demonstrate enthusiasm and pro-activity. You are expected to be organised in your work, write clean and efficient code and always remain attentive to details.
We look for people who don’t choose deep neural networks over linear regression if the latter is enough, but who are not afraid of designing an adversarial learning pipeline when it clearly is the best solution.
You’ll find that members of the Tech team are often in front of whiteboards devising better designs or coaching each other, and we expect you to actively be a part of these discussions.
Bonus points:
These companies are also recruiting for the position of “Data / Business Intelligence”.
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