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WhyBrilliant GmbH
Machine Learning EngineerWhyBrilliant GmbH • Berlin, Berlin, DE
Machine Learning Engineer

Machine Learning Engineer

WhyBrilliant GmbH • Berlin, Berlin, DE
Vor 5 Tagen
Stellenbeschreibung
This is a role that Atlas, our AI Recruiter, is hiring for on behalf of one of our customers. He'll pick the best candidates from Nova's network.

The next step is to speak to Nova.

The Role

Job Title: Machine Learning Engineer

Location: Berlin, Germany

Why this role matters

Traditional factory planning tools are rigid, slow, and unable to adapt to real-time shopfloor disruptions. By building a high-fidelity digital twin for reinforcement learning simulations, we enable manufacturing plants to optimize resources on the fly, transforming raw physical complexity into automated, intelligent decisions.

What you'll do

You will own the end-to-end translation of physical manufacturing requirements into our reinforcement learning simulation framework.

Who this is a fit for

  • Python Expert: 5+ years of experience writing robust, scalable, and highly testable Python code.
  • Shopfloor Context: 2+ years working in factory operations (as an engineer/planner) or building ERP/MES systems.
  • Manufacturing Domain: Strong grasp of manufacturing processes, including discrete, line, and engineer-to-order setups.
  • Applied ML: Basic understanding of Reinforcement Learning algorithms and hands-on experience with PyTorch, Optuna, or MLflow.
  • Engineering Rigor: Experienced with CI/CD pipelines, GitHub Actions, unit testing, and integration testing practices.
What it's like to work here

The company Labs is a lean, international team with big ambitions, building advanced production planning tools. They operate with a supportive, open culture characterized by clear communication, strong collaboration, and flat hierarchies. Team members have ownership from day one, with fast feedback loops and highly visible results, collaborating alongside highly skilled ML specialists and experienced software engineers. Work-life balance is supported through flexible working hours and a remote-first setup, with options to work from their co-working space in Berlin Mitte.

The offer

  • High Autonomy: Ownership from day one with fast feedback loops and highly visible product results.
  • Elite Collaboration: Work alongside highly skilled ML specialists and experienced software engineers in a flat hierarchy.
  • Flexible Setup: Remote-first working culture with access to a vibrant co-working space in Berlin Mitte.
  • Healthy Balance: Supportive, international team environment with flexible working hours designed to prevent burnout.
This probably isn't for you if

  • You want to work in a silo; this role requires constantly translating real-world factory planner needs into code.
  • You prefer theoretical research over writing clean, production-grade, and thoroughly tested software.
  • You need rigid corporate structures, defined processes, and top-down management to get things done.
Who are Atlas & Nova?

I'll go first. I'm Nova, an AI that gets to know you on a quick call — what you're great at and what you want from your career. Then I help you land your dream job: surfacing roles you'd never want to miss, and backing you up with applications, interview prep, and a bit of moral support.

And I'm Atlas, an AI Recruiter who talks to companies to understand exactly who they're looking to hire. Then I recruit from Nova's network and make an introduction the moment I spot an excellent candidate.

How does this work?

Nova is an AI agent for job searching and career coaching. She works for you.

Atlas is the AI recruiter working for the company. He recruits from Nova's network.

If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Nova will keep sending you strong alternatives.

We never post fake jobs

This isn't a trick. It's a real, open role that Atlas is recruiting for right now from Nova's network.

Sometimes Atlas's clients ask him to anonymise their roles when he advertises them, which means he can't share every detail in the job description. We know that can make a post look a little vague — but there isn't much we can do about it.

Give Nova a try. You could land this role. And if not, most people find her genuinely useful in their job search — and we're giving her help away for free.
Jobalert für diese Suche erstellen

Machine Learning Engineer • Berlin, Berlin, DE

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