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Optimization Model Engineer - Junior



Posted on Friday, May 10, 2024
Hybrid Remote

Optimization Model Engineer - Junior

Are you ready to have true impact? We are looking for a passionate Junior Optimization Model Engineer. Read more and apply 👇

About the company

Timefold is an AI planning optimization platform, built on powerful open-source solver technology, enabling software builders to tackle real-world, complex and high-impact operational planning problems. It delivers significant economic value in optimization operations like vehicle routing, employee scheduling, maintenance scheduling, field service routing, production planning, etc.

Timefold is an open-core software startup founded in 2023 - on a mission to free the world from wasteful scheduling! We are the next chapter of OptaPlanner, a field-proven, open-source solver originally created by Geoffrey De Smet, our CTO and co-founder.

Our headquarters are in Ghent, Belgium, in the magnificent and iconic Wintercircus building. The team operates remotely from various locations with hubs in Belgium, Czech Republic, and the US.

About the role

We are in search of a talented Planning Optimization Engineer to join our dynamic team. As a Planning Optimization Engineer at Timefold, you will be instrumental in crafting advanced AI planning models and contributing to the evolution of our optimization solutions.

Key Responsibilities

  • Collaborate with cross-functional teams to understand planning challenges
  • Develop, implement, fine-tune, and maintain planning optimization models
  • Analyze and enhance the performance of existing optimization models
  • Build the core commercial elements of our product offering

Key Qualifications

  • Advanced knowledge of Java
  • Passion for learning planning optimization
  • Strong analytical and problem-solving skills
  • Fluent in English
  • Ability to work collaboratively in a technical environment

    What You'll Learn

    Joining Timefold provides a unique opportunity for continuous learning and growth. As a Planning Optimization Engineer, you will:

    • Gain expertise in developing and fine-tuning optimization models
    • Work alongside experienced professionals in the field
    • Be part of a fast growing startup project with a global user base
    • Tackle complex, real-world planning challenges
    • Stay at the forefront of AI-driven planning optimization

    This job is for you if

    • You have a passion for solving complex planning challenges
    • Learning and professional growth are essential to your career
    • You are eager to contribute to resource efficiency on a global scale
    • You thrive in a collaborative startup culture
    • You seek a diverse, flexible job with a global perspective

      What do we offer

      • A Full Time position in a fast growing start up environment
      • A competitive salary package complemented by a range of local benefits
      • Flexibility : our focus is on your talents, not your location. Choose the working arrangement that suits you best, whether it is remote, hybrid or on-site
      • Culture : promoting growth through both autonomy and teamwork across different teams
      • Our dedication to creating an inclusive environment, where diversity is celebrated and everyone is treated with fairness and respect <3
      • Regular team building activities and gatherings to enhance (international) team spirit and cooperation (this requires a willingness to travel once or twice a year)

        Remote status
        Hybrid Remote

        About Timefold

        Timefold, an innovative commercial open-source software startup, is revolutionizing planning optimization. With our AI solver, we're solving planning challenges across industries. We're backed by an early-stage VC and are determined to lead planning optimization globally.

        Founded in 2022
        Co-workers 15
        Hybrid Remote

        Optimization Model Engineer - Junior

        Are you ready to have true impact? We are looking for a passionate Junior Optimization Model Engineer. Read more and apply 👇

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