Machine Learning Engineer EMEA

o9 Solutions, Inc.Amsterdam, OH
17hHybrid

About The Position

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning capabilities and capturing millions—even billions—in value leakage, we help businesses plan smarter and faster. This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet. Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains. ML Product Engineer We’re looking for a seasoned Machine Learning Engineer with a strong software engineering mindset to join our team in building cutting-edge solvers and algorithmic libraries for supply chain challenges—ranging from Promotion Modelling to Capacity Planning and beyond. As a key contributor, you'll help develop high-performance, scalable algorithms that power automatic decision-making in retail and supply chain contexts. You’ll work closely with data scientists, data engineers, and product teams to ensure our solutions are robust, well-integrated, and deliver tangible value.

Requirements

  • 5+ years of experience in the field of Machine Learning or closely related
  • 3+ years of coding experience with either C, C++ or Rust
  • Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field or Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field
  • Strong problem-solving skills and the ability to translate business challenges into well-formulated algorithmic solutions.
  • Familiarity with Supply Chain concepts (e.g., inventory management, promotions, demand planning) is highly desirable.
  • Strong programming skills in Rust, C++, or C, with experience building performant, production-grade systems.
  • Proficient working knowledge of Python for prototyping and interfaces debugging.
  • Solid grasp of professional software engineering practices including: Version control (e.g., Git) Code reviews and collaborative development workflows Testing and continuous integration
  • Familiarity with packaging, dependency management, and releasing production-grade libraries.
  • Strong presentation and communications skills.
  • You thrive in a fast paced, challenging environment, where there is much white space and problem solving is at the heart of what drives your analysis.
  • Transparency and frequent communication is key.
  • Openness to learn from industry experts as well as willingness to mentor junior engineers.

Nice To Haves

  • Experience with large scale solvers is a big plus.
  • Experience with open source contributions is a plus.

Responsibilities

  • Design and implement advanced algorithms to automate retail and supply chain decision-making.
  • Optimize existing solutions to ensure scalability and maintainability in production environments.
  • Contribute to internal libraries that integrate seamlessly with the o9 Platform
  • Support Data Scientists in applying your algorithms effectively
  • Stay current with academic research and bring relevant ideas into production.

Benefits

  • Competitive Salary – We recognize and reward talent.
  • Tech Tools – Choose a Windows or PC laptop, whatever helps you work best.
  • Flexible Work – Work from home two days a week—less commuting, more time for what matters. If you're not near one of our offices, remote work is an option.
  • Supportive Team – Work alongside a diverse, talented team you can learn from every day.
  • Diversity & Inclusion – We celebrate our international workforce and value different perspectives.
  • Food & Drink – Enjoy healthy snacks, fresh fruit, teas, and coffees.
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