Tomorrow Things

About Tomorrow Things

At Tomorrow Things, we’re building intelligent infrastructure for industrial support. Our Remote Support Platform uses AI agents, real-time telemetry, and continuous learning to minimize downtime and maximize efficiency for machine operators. We're looking for a Data Scientist / ML Engineer to take this to the next level by driving predictive intelligence, agent learning, and real-time diagnostics.

 

Your Role

As a Data Scientist / Machine Learning Engineer — GenAI, you’ll design, develop, and deploy models that enable smarter, faster support — from AI agent optimization to predictive maintenance and multilingual NLP.

 

What You’ll Do

• Develop and refine AI agent models using historical support data and technician feedback

• Build real-time anomaly detection and diagnostics systems using machine telemetry

• Design and maintain supervised and reinforcement learning loops for support automation

• Collaborate with engineering and product teams to integrate models into production

• Analyze support outcomes, SLA metrics, and satisfaction scores to improve support quality

• Contribute to Things OS data pipelines and the broader AI/ML platform strategy

 

What You Bring

• 3+ years in data science or ML engineering roles, ideally in IoT, SaaS, or support platforms

• Solid Python and ML libraries experience (e.g., PyTorch, TensorFlow, scikit-learn)

• Experience with NLP (preferably multilingual) and time series modeling

• Familiarity with edge/cloud connectivity systems and industrial data is a plus

• Strong communication skills and product-oriented mindset

 

Why Join Tomorrow Things?

• Apply machine learning to real-world industrial problems

• High impact role in a growing AI-focused team

• Fully remote, flexible work culture with hybrid options in Bonn

• Competitive compensation including stock options

• Work with diverse data, from language to telemetry, and shape future capabilities

 

👉 Ready to shape the digital factory of the future? Apply directly via LinkedIn.

 

Let’s build tomorrow’s factories, today.

Support

Machine learning

Data

Infrastructure

Data Science

Automation

Cloud

Python

TensorFlow

SaaS

Communication Skills

PyTorch

Data Pipelines

Digital

Scikit-learn

Time Series Modeling

Anomaly Detection

Reinforcement Learning

Cloud computing

Industrial Automation

Debugging

Machine Learning Engineer – GenAI (f/m/d)