20 beste Stellen als team lead machine learning in berlin – aktuell auf Personalsuche

Principal Machine Learning Scientist (all genders)
Bayer —Berlin
- 104.300 € – 126.500 € pro Jahr
- Teilzeit
- Doktorat
- Machine Learning
- Künstliche Intelligenz
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Vinted —Berlin
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- Machine Learning
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Enpal —Berlin
- Vollzeit
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- Informatik
- Forschungserfahrung
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5 Tage
Head of Growth Marketing and Lifecycle (d/m/f) NYC or Berlin
Leapsome —Berlin
- 100.000 € – 150.000 € pro Jahr
- Vollzeit
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- Führungserfahrung
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- Flexible Arbeitszeiten
Applied Science Manager / Lounge by Zalando (all genders)
Zalando —Berlin
- Vollzeit
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- Doktorat
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- Master
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Lead Forward Deployed Engineer
Taktile —Berlin
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Archon - FTA Lead
deCircle —Berlin
- Vollzeit
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- Bachelor
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Direkt bewerben
Senior Audit Manager - Model Validation (f/m/d)
solarisBank AG —Berlin
- 85.000 € – 120.000 € pro Jahr
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9 Tage
Senior Principal Applied Scientist (f/m/d)
Siemens —Berlin
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Amazon Development Center Germany GmbH —Berlin
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ML Ops Engineer
Zeta Global —Berlin
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Principal Applied Scientist (Economics, Experimentation & Platform Analytics) at Zalando Search & Discovery (All genders)
Zalando —Berlin
- Vollzeit
- Doktorat
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Senior AI Infrastructure & Platform Operations Engineer (remote in the EU)
Mirantis —Berlin
- 90.000 € – 105.000 € pro Jahr
- Vollzeit
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- AWS
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Direkt bewerben
9 Tage
Founding Product Designer & Researcher
Stackgini —Berlin
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Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
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Global Industry X Technology Lead for GCP (all genders)
Accenture —Berlin
- Vollzeit
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Applied Scientist – Marketing & Personalization
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Master
- Machine Learning
- Python
- Umzugskostenzuschuss
Product/Platform Engineer
juna.ai —Berlin
- Vollzeit
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Applied Scientist (all genders) - B2B Data Science and Algorithms
Zalando —Berlin
- Vollzeit
- Master
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Lead Data Scientist (m/w/d)
Oskar Böttcher GmbH & Co. KG —Berlin
- Teilzeit
- Englisch
- Kommunikationsfähigkeit
- Python
Direkt bewerben

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team lead machine learning jobs near berlin

Principal Machine Learning Scientist (all genders)

Bayer -
Berlin

Jetzt bewerben

Details zur Stelle

Teilzeit | Vollzeit
104.300 € – 126.500 € pro Jahr

Leistungen

Betriebsarzt/Betriebsärztin

Qualifikationen

Biologie
Doktorat
Machine Learning
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Principal Machine Learning Scientist (all genders)

You develop novel machine learning algorithms and workflows for protein modeling and design, including protein-protein and protein-ligand modeling. In this global role, you shape the future of drug discovery and collaborate with an international team driving innovative solutions for biomedical research. The position is part of Machine Learning Research and offers you the opportunity to make an impact both internally and externally.

YOUR TASKS AND RESPONSIBILITIES

You lead the development, evaluation, and application of machine learning algorithms and workflows to accelerate early-stage drug discovery, including de-novo design of biomolecules
You assess target druggability across therapeutic modalities and design drug delivery systems
You identify novel druggable pockets and epitopes and characterize protein-protein and protein-ligand interactions
You implement, validate, and improve machine learning tools and software solutions that support drug discovery
You identify opportunities to accelerate ongoing drug discovery projects through internal and external AI capabilities
You communicate, educate, and engage with stakeholders such as chemists, biologists, computational/data scientists, and R&D leadership
You engage with the broader scientific community through publications, talks, and open-source contributions
You keep up to date with the latest advances in AI-driven modeling of biomolecular structure and dynamics

WHO YOU ARE

You hold a PhD degree in Computational Chemistry/Biology, Chemical/Biological/Molecular Engineering, Computer Science, or a related field with strong capabilities at the intersection of life sciences and computer science
You bring several years of professional experience after your PhD, including initial experience in the industry
You have experience with state-of-the-art machine learning methods for co-folding of biomolecules and de-novo protein design
You are skilled in handling, processing, integrating, and analyzing large datasets related to drug development research, including biochemical, biophysical, and structural biology data
You have experience with established, physics-based protein modeling methods such as Molecular Dynamics and/or Rosetta
You demonstrate strong programming skills in Python
You are committed to scientific rigor, possess strong analytical thinking skills, are highly self-motivated, and have a proven track record of scientific excellence
Excellent written and verbal communication skills in English round off your profile

WHAT WE OFFER

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!

We ensure your financial stability with a competitive salary between 104.300€ and 126.500€ per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.
Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

YOUR APPLICATION

This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Location: Berlin

Division: Pharmaceuticals

Reference Code: 873348

Jetzt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als team lead machine learning in berlin erhalten

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