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Rosetta.ai helps fashion e-commerce uncover consumer's shopping preferences and provide personalized shopping experiences to consumers. We're making e-commerce merchants have enterprise-level AI backup on day 1.
We are seeking Machine Learning Engineers, dedicated to Computer Vision, to join our data science team. The ideal person will have industry experience working on image recognition, feature extraction, and inference. The position will involve taking these skills and applying them to some of the most exciting and massive shopping data and prediction problems that exist on the web. You will bring the ability to own the whole ML life cycle, define projects, and drive excellence across teams.
Grit - We thrive outside of our comfort zone, pushing ourselves to go even further. We think long-term and constantly strive to be better, even if things don’t always go as expected.
Trust - We earn that trust by listening to each other, following through with our commitments, and keeping our words. We exercise transparency within the company, our customers, and our community.
Humility - We learn from everyone and everywhere, and we approach each new challenge knowing that we may not have all the answers.
Empathy - We craft our intention to keep curious about the industry, business, and practical scenarios that we purify the insights and forge the approaches.
Candor - We are open and honest. We give each other praise and criticism because we believe each team member is as important as the other.
Craftsmanship - We simplify, innovate, perfect, and start over until everything we touch enhances each life it touches.
Rosetta.ai is an Equal Employment Opportunity employer. Rosetta.ai conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, disability, citizenship status, genetics, or any other characteristic protected by law.
12F., No. 37, Sec. 3, Minquan E. Rd., Zhongshan Dist., Taipei City 104, Taiwan (R.O.C.)
Rosetta.ai helps fashion e-commerce, including apparel, accessories, and cosmetics, uncover consumer's shopping preferences, and provide personalized shopping experiences to consumers via on-site personalized product recommendations and off-site personalized messaging through multiple channels.
Founded in 2016. Currently, we've closed a seed round with investors from the USA, Canada, Australia, and Taiwan.
Won 4th. place reward of RecSys in 2019.
Editorial exposure on Forbes as the top 25 machine learning startups in 2020.