SO1 brings artificial intelligence to grocery retail.
We are building a revolutionary AI promotion platform based on machine learning and seamless retail integration. The SO1 Engine learns autonomously about individual consumer'
s preferences and their willingness-to-pay, providing real-time targeting across various media channels in the form of individual promotion feeds.
Working with leading retailers in Europe and North America, SO1 has proven its superior ability to serve up the right offers to consumers while at the same time maximizing financial impact for retailers and globally recognized brands.
SO1 has been backed by high-profile investors with 8-figure investments and continues to focus on building the best AI for retail.
SO1 gives their employees to take on important projects from the first day and offers unique learning opportunities.
You will :
Track the state of the art in Machine Learning and Deep Learning, Operations Research and Optimization
Share ideas for models, prototype them, deploy to production and run A / B tests
Develop mathematical abstractions covering business needs in flexible ways
Communicate ideas, capabilities and workflows to business stakeholders
Work both independently and in small focus teams on the full project lifecycle
A creative, curious, analytical mindset open for ideas coming from : psychology, neuroscience, statistics, econometry, physics, machine learning and data science
Passion for fast, hands-on prototyping with tight feedback loops
Solid familiarity with fundamental statistics, information theory, probability theory, linear algebra
Experience in building custom ML algorithms and pipelines from scratch
Strong core computer science, data structures and algorithms
Experience working with very large datasets and live production systems; with gradient boosting and / or deep learning
Experience with either of : representation learning, reinforcement learning, natural language processing, semi-supervised learning, ranking & recommendation, metaheuristics and optimization, generative models
Will be a plus
Public activity in the ML scene (papers, conferences, meetups, videos, open source projects)
Coding skills in any of : C++, R, Scala, Matlab
Background in research / fintech / adtech
What we offer
A multi-terabyte, rich dataset of customer behaviors
Tight feedback loops in a real-time system
A wide selection of projects
An energetic environment and very smart colleagues in all fields
Freedom to shape your role and significantly influence direction and future of the company
High performance-based compensation
Stock options possible after you have proven your impact
The flavor of a startup (free drinks & snacks, team events, rooftop terrace, etc.) combined with the professionalism of seasoned veterans