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We are growing quickly and we’re looking for team members that are excited to help us connect every developer in the world with the right tools and the companies using them. Our vision is to transform the way that all SaaS tools and infrastructure are bought and sold. We’ve recently raised a Series A round with just a team of 6; we’re now set to grow to 20 teammates. Our Director of Engineering spent time at Yelp & Yammer, while our new Head of Content joined us after managing the Stack Overflow blog. The rest of our team comes from companies like Etsy, DigitalOcean, and Squarespace. This position is based in San Francisco, CA at our new office.  ABOUT THE ROLE: As Frontend Engineer, you are an essential part of the Engineering team. Starting from Day One, you will work closely with a tight-knit team of engineers and designers and directly shape the future of the experience. You will see your dreams go from sketches on a whiteboard to reality, and have a lasting impact...

Job Description: Full Stack Software Engineer Caen, San Francisco, Remote · Full Time Job Description We are the LinkedIn for the medical industry. We connect medical manufacturers, their distributors with the hospitals demand. Our application is currently running on PHP (Yii2) / MySQL / Apache stack with aggregation / machine learning / analytics stack on Python and RoR in the backend. We are looking for a full-stack engineer who is unbiased towards a certain technology and can make decisions upon the better for the business. We are a San Francisco company, most of the team is based in France (Caen -- simplicity and great nature), and some of the team is in Jordan. If you are a kickass engineer who want to change a whole industry with a super passionate team, it's your place. Skills Machine Learning, Communication Skills, Full Stack Development, Problem Solving, Data Engineering Compensation $12K – $18K 1.0% – 4.0% Visa Sponsorship Available Kris Young Account...

Job Description: Staff Applied Machine Learning Scientist Mountain View, CA, US Description The mission of the team is to use data and machine learning to improve the care that we can provide to our members with diabetes and other chronic diseases. These are some of the most important parts of the team’s charter: - Building personalization algorithms to power product experiences - Modeling behavior to quantify and improve health outcomesUnderstanding and visualizing user behavior to improve product design - Building and sharing trusted reports and dashboards to drive decisions - Owning experimentation methodology and practice - Data sleuthing and analysis What You Will Do This will be one of the most senior/influential roles at the company. You will lead the work on machine learning, statistical modeling and data engineering to enable people with chronic health conditions to live better using data-driven recommendations to manage their health. You will also have a central...