Machine Learning Engineer

At HyperScience we bring AI to the office. Our software takes over menial work that people are doing today and frees them to focus on more complex tasks. We believe that AI is destined to be the biggest event in the history of human labor since the Industrial Revolution, and we want to be a part of it.

ML is at the core of what we do. We productize ML lab experiments into enterprise-ready AI solutions - and we’re looking for continuous learners to lead these efforts. This is an opportunity to both research cutting edge ML techniques and to implement them at a fast-growth AI startup.

* Actively follow advancements in AI and create ML models * Improve existing ML models: everything from tweaking the dataset to replacing the approach with a demanding end-to-end (deep learning) solution

**Desired qualifications:** * BA/BS in a relevant field (CS, engineering, etc) or equivalent hands-on experience * Background in Deep Learning, Natural Language Processing (NLP), or Computer Vision * Desire to carve out your own role in a fast-moving, agile environment * Team player with strong communication skills **Preferred qualifications (the nice-to-have's):** * Graduate degree (MS or PhD) in Artificial Intelligence, Computer Vision, Machine Learning, or related technical field is highly valued * Proficiency in Tensorflow and/or other deep-learning frameworks * Fluency in linear algebra, probability and statistics fundamentals * Experience with one or more general purpose languages (Java, C/C++, Python, etc)