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Random engineer/developer profile

Data Scientist Data Scientist - machine learning, data science, statistics, deep learning, tensorflow,
Chicago, Illinois, United States (Can work remotely)
Machine learning, deep learning, bayesian statistics, optimization, recommender systems, decision theory, tensorflow Please check out my resume for details (link is given below): https://drive.google.com/file/d/1DdlPtkaGzkCi1w4lEWeh8zMpljWlsqfs/view?usp=shar...
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Latest Machine learning jobs (106 entries)

Sort by: Date posted | Title | Company ▶ Filter by: Remote only | USA/Canada | Outside of USA

Chattermill Machine Learning Engineer - Chattermill   (December 2018)
London, United Kingdom
At Chattermill deep learning is not just a buzzword. Our whole product is built around it and we are committed to staying ahead of the game by continuously exploring new ideas and bringing them to life. Our core offering is centred around extracting insights f...
Swish ML Engineer - Swish   (November 2018)
San Francisco, California, United States (Remote possible)
Use your extensive knowledge of machine learning to transform the way enterprises run their businesses. With a healthy pipeline of projects ranging from insurance modeling, call center automation, social listening, and text analytics, we are looking to bring o...
Thingthing R&D Manager - NLP Engineer - Thingthing   (November 2018)
Barcelona, Spain
We are looking for a new member to join our R&D team. As a R&D Manager - NLP Engineer your work will impact an app used by hundreds of thousands of people all over the world. By joining Fleksy you will: Work from sunny Barcelona within a small entrepreneu...
Snap Inc Research Engineer, Machine Learning - Snap Inc   (November 2018)
Los Angeles, California, United States
Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun...
G2 Inc Machine Learning Engineer - G2 Inc   (November 2018)
Annapolis Junction, Maryland, United States
Come be a part of a team applying cutting edge Machine Learning to the cybersecurity domain! We will use state of the art ML techniques (Neural Nets, Gradient Boosting, etc.) to model behaviors, detect anomalies, cluster data, and ultimately create actionable...
Element AI Research Scientist - Machine Learning - Element AI   (November 2018)
Montreal, Canada
The research scientists are working under the leadership of the Chief Science Officer to promote the role of fundamental research to advance AI, and ensure that Element AI has access and contributes to the best science. Element AI wants to carry out fundament...
Amazon Machine Learning Scientist, Alexa Speech - Amazon   (November 2018)
Seattle, Washington, United States
Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR) and Natural...
Walnut Investments Machine Learning Researcher - Walnut Investments   (November 2018)
Paris, France
As part of the Research team, you will embrace theoretical mathematics, computer science and financial knowledge. Fully involved on advanced topics, you will work closely with researchers, deep learners, and science addicts. Being part of our international tea...
Coinbase Machine Learning Team Lead - Coinbase   (November 2018)
San Francisco, California, United States
Coinbase’s vision is to bring more innovation, efficiency, and equality of opportunity to the world by creating an open financial system. Our first step on that journey is making digital currency accessible and approachable for everyone. Two principles guid...
Lyft Software Engineer, Machine Learning - Lyft   (October 2018)
San Francisco, California, United States
At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they...
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