Machine Learning Engineer

SO1 GmbH
The most advanced AI in retail

Job details

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Intro

About us

SO1 is the leading artificial intelligence for 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.

Our Team and Culture

At SO1 you will find the highly professional work environment of developed businesses combined with the flexibility and fun atmosphere of a start-up. We are passionate about what we do and share an open, valuing, respectful and cooperative behavior. We are not just looking for talented people, but for personalities who are a great addition to our team.


Your role

  • You will track the state of the art in various areas of Machine Learning and Deep Learning, Operations Research and Optimization
  • You will come up with ideas for models, prototype them, deploy to production and run A/B tests
  • You will develop mathematical abstractions covering business needs in flexible ways
  • You will communicate ideas, capabilities and workflows to business stakeholders
  • You will be working both independently and in small focus teams on the full project lifecycle - from project inception to monitoring production results

Main requirements

Must have

  • A curious, creative, analytical mindset open for ideas coming from: econometrics, statistics, physics, machine learning, neuroscience and psychology
  • Love for rapid, hands-on prototyping with tight feedback loops
  • Strong familiarity with fundamentals in statistics, probability theory, information theory and linear algebra
  • Strong core computer science, data structures and algorithms
  • Experience in building custom ML algorithms and pipelines from scratch
  • Deep familiarity with Python, Unix and SQL 

Highly desirable

  • 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


Nice to have

  • Public activity in the ML scene (Kaggle, papers, conferences, meetups, videos, open source projects)
  • Background in fintech/adtech/research


Perks

  • 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

Apply now

Sign up to apply

Or sign up to refer and earn a reward of €300