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.
Are you passionate about applied machine learning research? Are you open-minded about approaches and techniques, willing to pick the best tool for the job?
Would you like to work with an exciting live dataset spanning billions of rows?
Would you like to see how your insights and models influence the purchasing habits of millions of people?
Are you keen on working with world class teammates in a successful startup to bring a product to the market that will change a billion-
dollar industry? Well, this position might be just for you!
We are looking for an experienced and talented machine learning expert to lead our growing team of machine learning engineers.
As team lead, you will :
Shape the future of SO1 by creating and executing a strategy for our machine learning technology that will impact the lives of millions of retail consumers
Support, mentor and coach team members to the top of their potential in applying state of the art machine learning techniques to our data
Be responsible for the onboarding of new employees, feedback sessions and trainings
Develop mathematical abstractions covering business needs in flexible ways
Come up with ideas for models, prototype them, deploy to production and run A / B tests
Establish communication channels, and synthesize and relate the relevant information from the ML team to stakeholders
You are an open-minded polymath craving for transforming your ideas into real-world impact.
Significant industry experience bringing large-scale machine learning models to production
Strong communication and leadership skills
A curious, creative, and analytical mindset
Strong fundamentals in statistics, probability theory, information theory, linear algebra, computer science, data structures and algorithms
Deep familiarity with Python, Unix and SQL
Experience working with very large datasets and live production systems
Experience with gradient boosting and / or deep learning
Experience with either of : representation learning, semi-supervised learning, reinforcement learning, natural language processing, ranking & recommendation, metaheuristics and optimization, generative models
Will be a plus
Public activity in the ML scene (Kaggle, papers, conferences, meetups, videos, open source projects)
Background in fintech / adtech / research
What we offer
A multi-terabyte, rich dataset of customer behaviors
Tight feedback loops on prediction results with model deployment in a real-time system
A wide selection of projects, from large-scale prediction, through uplift measurement to anomaly detection
Highly energetic environment and very smart colleagues from diverse fields : machine learning, physics, computer science and business
Freedom to shape your role and significantly impact the company’s direction and future
Competitive base salary
Share in the company success through virtual stock options
The flavor of a startup (free drinks & snacks, team events, rooftop terrace, etc.) combined with the professionalism of seasoned veterans
Your New Team
We are a diverse team of about 30 software engineers, devops, machine learners, data scientists, and business people. All united in their desire to achieve something great and change the promotion game for good.
We operate in small teams, with flat hierarchies. We love cooking together in the kitchen and having fun with barbeques on our rooftop terrace.
We welcome everyone warmly in our team no matter where you come from or what your background is.