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Data Scientist (Control Theory and AI)

Nimbus

Berlin

Hybrid

EUR 60.000 - 90.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A technology company in Berlin is seeking a Data Scientist with a strong background in Control Theory to join their R&D team. The role involves integrating Large Language Models into control loops and conducting core research that impacts products. Ideal candidates have a PhD or are near completion, with solid coding skills in Python and an interest in reinforcement learning. A competitive salary and hybrid work flexibility are offered in this full-time position.

Leistungen

Competitive salary plus ESOP (Equity Stock Option Plan)
Office in central Berlin with hybrid flexibility
The chance to publish while working in industry
Fast paced, mission driven environment
Direct collaboration with R&D focused Management

Qualifikationen

  • PhD or near completion in Control Theory, Applied Mathematics, or related field.
  • Solid track record of research including papers, simulations, models, or code.
  • Strong coding skills in Python.

Aufgaben

  • Develop novel approaches for combining control theory with Large Language Models.
  • Design and run experiments, from simulation to production integration.
  • Collaborate with the backend team to turn research into product features.

Kenntnisse

Control Theory
Python
Large Language Models
Data pipelining
Backend development

Ausbildung

PhD or near completion in Control Theory, Applied Mathematics, or related field

Tools

PyTorch
TensorFlow
JAX
Jobbeschreibung
Overview

We are looking for a Data Scientist with a strong background in Control Theory, ideally with a PhD, to join our Berlin R&D team. This is an in person role with some hybrid flexibility in one of Berlin’s top locations. If you are already in Berlin, thrive on ambitious research, and want to push Large Language Models into real world control loops, this might be the challenge you have been waiting for.

About the Company

We build enterprise grade data pipelines powering multi channel conversational AI. Our platform enables organizations to automate customer interactions across voice, chat, and messaging with high accuracy, flexibility, and deep integration into existing enterprise systems. Backed by a 3M seed round, we are scaling fast across Europe and North America.

About Us

We are an R&D driven company, with a strong research background, and our culture rewards people who go deep, solve hard problems, and then bring those solutions into production. We invest heavily in experimentation and expect high output, but the payoff is big: impact, ownership, and the chance to publish groundbreaking work.

The Role

You will work in our Berlin R&D group, integrating Large Language Models into control loops and exploring how classical control theory principles can shape the future of autonomous AI systems. You will contribute to core research that has direct product impact, and you will have the freedom to pursue publication in top venues. On top of your research work, we value flexibility. From time to time you will also take on backend development tasks and collaborate closely with our backend team to bridge research with production systems.

Key tasks
  • Develop novel approaches for combining control theory with Large Language Models
  • Design and run experiments, from simulation to production integration
  • Collaborate with the backend team to turn research into product features
  • Contribute occasionally to backend development to maintain flexibility and integration
  • Publish and present work when it makes sense, with company support
What We Offer
  • Competitive salary plus ESOP (Equity Stock Option Plan)
  • Office in central Berlin with hybrid flexibility
  • The chance to publish while working in industry
  • A fast paced, mission driven environment with serious upside
  • Direct collaboration with a Managing Director who is R&D focused
What We Are Looking For
  • PhD or near completion in Control Theory, Applied Mathematics, or related field
  • Solid track record of research including papers, simulations, models, or code
  • Strong coding skills in Python with bonus points for PyTorch, TensorFlow, or JAX
  • Interest or experience in Large Language Models, reinforcement learning, or applied AI
  • Ability to work occasionally on backend development tasks in a modern stack
  • Already based in Berlin and able to work in person with hybrid flexibility
  • High work ethic, ambitious, and able to deliver under pressure
Please Note
  • We do not offer relocation or visa sponsorship
  • This is a full time position based in Berlin
  • If you are ready to combine theory and practice, research and product, and help define what AI control loops look like in the real world, apply now.
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