Our platform helps online retailers bridge the gap between online and offline conversion rates. Bad search means a bad customer experience. Our technology uses deep learning and natural language processing to eliminate the “no results found” problem and show your customers what they want when they want it. Our results speak for themselves. No fancy jargon, just 100% accuracy every time.
We believe search should be intuitive and intelligent, rather than a barrier for online stores and customers. We have the tools. Let’s make it happen.
Cast real-world problems to machine learning problems
Collaborate with the data team for data collection in efficient ways
Design and experiment machine learning/deep learning models
Design, implement and optimize machine learning platform
Analyze/Debug prediction models
Knowledge about machine learning/deep learning theory and algorithms
Knowledge about model optimization methods: 1st/2nd order methods, bayesian optimization, etc
Proficiency in mainstream machine learning/deep learning frameworks: sklearn, tensorflow, pytorch, keras, etc.
Algorithm, data structure, and object-oriented programming skills
Proficiency in Python
Experience in applying machine learning algorithms for natural language processing/generation tasks
Experience with the Linux stack (bash, git, package management etc.)
Experience in processing big data
Familiarity with data platforms: MongoDB, SQL, Lucence, ElasticSearch, etc.
Experience with team software development process: design, testing, coding, and peer reviews
Experience in modular design for software development
Competitive salary, health and dental benefits.
Regular learning activities: latest paper, neat techniques, best practices
Flat organization structure set up to help people succeed
Smart and knowledgeable colleagues
$200/month transportation allowance
Catered meals managed by a food expert