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Machine learning engineer • offenbach

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Principal Machine Learning Scientist for Protein Design - all genders - Inklusiver Job 🦼 🦻 🦯

Principal Machine Learning Scientist for Protein Design - all genders - Inklusiver Job 🦼 🦻 🦯

Sanofi-Aventis Deutschland GmbHFrankfurt am Main, Hessen, DE
Join Sanofi's Biologics AI & Design team at the forefront of a revolution in drug discovery.We're building next-generation foundational models that are directly shaping our therapeutic pipeline...Mehr anzeigenZuletzt aktualisiert: vor 15 Tagen
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Expert DevOps Engineer (m/w/d)

Expert DevOps Engineer (m/w/d)

Deutsche Telekom AGFrankfurt, de
Sie sind maßgeblich am Aufbau robuster CI/CD-Pipelines (z.Jenkins, GitLab) beteiligt, um eine schnelle und zuverlässige Softwarelieferung sicherzustellen.Ihr Fachwissen in Kubernetes wird entscheid...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Software Engineer (f/m/d) CM500

Software Engineer (f/m/d) CM500

Siemens EnergyFrankfurt am Main, de
Software Engineer (f/m/d) CM500.This position ensures business continuity for the CM500 software, a critical component of all gas and steam turbine projects.The role focuses on internalizing mainte...Mehr anzeigenZuletzt aktualisiert: vor 5 Tagen
Machine Learning Engineer

Machine Learning Engineer

NewNow GroupFrankfurt am Main, Hessen, Germany
Quick Apply
At NewNow, we build and deploy.AI solutions for enterprise clients, enabling them to lead a new era of market success.Completely bootstrapped and growing at 2X profitability this year, we are on th...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Structural Engineer (m/f/d)

Structural Engineer (m/f/d)

Pinnacle Ingenieurbüro GmbHFrankfurt am Main, Germany
Our team is dedicated to excellence and is committed to delivering high-quality design and engineering services to our clients in Germany and beyond.As an engineer, you will assume a key position i...Mehr anzeigenZuletzt aktualisiert: vor 2 Tagen
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SOC Engineer (m/w/d)

SOC Engineer (m/w/d)

glueckkanja AGOffenbach am Main, de
Hackern nicht nur einen Schritt voraus, sondern gleich ein ganzes Playbook: Dafür sorgen wir bei glueckkanja als einer der führenden Anbieter im Bereich Cloud Security.In unserem Security Operation...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Senior Azure Engineer (m/w/d)

Senior Azure Engineer (m/w/d)

AkkodisFrankfurt am Main, de
Planung, Aufbau und Betrieb von Azure‑Kubernetes‑Services (AKS), inklusive Cluster‑Architektur und Security‑Konzepten.Entwicklung und Pflege von Infrastructure‑as‑Code‑Lösungen auf Basis von Terraf...Mehr anzeigenZuletzt aktualisiert: vor 8 Tagen
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Software Engineer MES (m/w/d)

Software Engineer MES (m/w/d)

Actemium DeutschlandFrankfurt am Main, de
Du suchst eine neue Herausforderung in einem hoch motivierten Team mit spannenden Projekten in einer innovativen Branche? Einen zukunftssicheren Arbeitsplatz, der sich Deiner individuellen Lebenssi...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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(Senior) Data Engineer (m/w/d)

(Senior) Data Engineer (m/w/d)

Reply GroupFrankfurt, de
Du möchtest nicht nur beraten, sondern steuern, strukturieren und Verantwortung übernehmen? Als Projektmanager (m/w/d) bei Cluster Dynamics Reply kannst du genau diese Rolle übernehmen!.Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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M365 Solutions Engineer (m/w/d)

M365 Solutions Engineer (m/w/d)

Ratiodata SEFrankfurt am Main, de
M365 Solutions Engineer (m/w/d).Du suchst neue Herausforderungen und Karrieremöglichkeiten? Du willst deine Zukunft aktiv mitgestalten? Dann komm zu uns! Wir sind eins der größten Systemhäuser und ...Mehr anzeigenZuletzt aktualisiert: vor 7 Tagen
AI / ML ENGINEER | MACHINE LEARNING & GENAI IN DER PRAXIS

AI / ML ENGINEER | MACHINE LEARNING & GENAI IN DER PRAXIS

Whitehall ReplyFrankfurt
Du möchtest KI-Modelle nicht nur entwickeln, sondern sie stabil, performant und skalierbar in die Praxis bringen? In dieser Rolle verbindest du Software Engineering mit Data Science und sorgst dafü...Mehr anzeigenZuletzt aktualisiert: vor 14 Tagen
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(Senior) AI Platform Engineer (m/w/d)

(Senior) AI Platform Engineer (m/w/d)

Union InvestmentFrankfurt am Main, de
Senior) AI Platform Engineer (m/w/d).Im KI-Kompetenzzentrum von Union Investment steht die Entwicklung innovativer KI-Lösungen im Mittelpunkt.Zur Verstärkung unseres Teams suchen wir zum nächstmögl...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Software Engineer HR IT

Software Engineer HR IT

Atruvia AGFrankfurt am Main, de
Software Engineer HR IT (m/w/d) | COSDIW.Als deutschsprachiges Unternehmen nutzen wir zukunftsweisende Technologien wie künstliche Intelligenz oder Smart Data und schreiben Prozessoptimierung, Sic...Mehr anzeigenZuletzt aktualisiert: vor 21 Tagen
Machine Learning Engineer / Data Scientist Google Cloud (all genders)

Machine Learning Engineer / Data Scientist Google Cloud (all genders)

adesso SEHerriotstraße 1, Frankfurt, Germany
Du entwickelst moderne, skalierbare Machine Learning-Lösungen auf der Google Cloud.Du setzt Python ein, um Machine Learning-Modelle in produktionsbereite Daten-Pipelines zu integrieren.Du übersetzt...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Praktikum Data Science

Praktikum Data Science

Lidl Stiftung & Co KGFrankfurt, DE
Werde für 4-6 Monate Teil unseres Daten & KI Teams, unterstütze datenbasierte Analysen und entwickle innovative Automatisierungslösungen.Erhalte Einblicke in Big Data und Machine Learning Technolog...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Senior Security Engineer

Senior Security Engineer

Finanz Informatik Solutions Plus GmbH & Co. KGFrankfurt, de
Kostenlose Fahrrad- / Autostellplätze.Du gestaltest IT-Security aktiv mit: Als Senior Security Engineer analysierst du Schwachstellen, koordinierst Security-Incidents und setzt nachhaltige Schutzma...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Senior Application Manager / Solution Engineer - Transaction Reporting m/w/d

Senior Application Manager / Solution Engineer - Transaction Reporting m/w/d

DZ BANK AG / Deutsche Zentral-GenossenschaftsbankFrankfurt am Main, de
Senior Application Manager / Solution Engineer - Transaction Reporting m/w/d.Als Senior Application Manager (m/w/d) verantworten Sie fachlich die Funktionsfähigkeit sowie den Betrieb unserer Anwend...Mehr anzeigenZuletzt aktualisiert: vor 1 Tag
Freelance Machine Learning Engineer

Freelance Machine Learning Engineer

MindriftFrankfurt am Main, HE, DE
Homeoffice
Quick Apply
Please submit your CV in English and indicate your level of English proficiency.Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, eva...Mehr anzeigenZuletzt aktualisiert: vor 17 Tagen
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Expert Algorithm Engineer, Vehicle Control

Expert Algorithm Engineer, Vehicle Control

Da Vinci Engineering GmbHFrankfurt am Main, de
We are searching intelligent and innovative employees.If you are interested in working for a dynamic company with flat hierarchy, we look forward to receiving your application.Design, develop, and ...Mehr anzeigenZuletzt aktualisiert: vor über 30 Tagen
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Principal Machine Learning Scientist for Protein Design - all genders - Inklusiver Job 🦼 🦻 🦯

Principal Machine Learning Scientist for Protein Design - all genders - Inklusiver Job 🦼 🦻 🦯

Sanofi-Aventis Deutschland GmbHFrankfurt am Main, Hessen, DE
Vor 15 Tagen
Stellenbeschreibung

About the job

The opportunity:

Join Sanofi's Biologics AI & Design team at the forefront of a revolution in drug discovery. We're building next-generation foundational models that are directly shaping our therapeutic pipeline - designing antibody and NANOBODY® molecules that will become tomorrow's medicines for patients worldwide.

You'll be part of a elite global team within our Digital Biologics Platform (DBxP), working at the intersection of cutting-edge AI research and real-world therapeutic development. This isn't just about publishing papers or building models in isolation - it's about deploying foundational models that directly impact drug candidates moving through our portfolio.

What makes this role unique:

  • Proprietary biological data at scale - Access to one of the world's largest proprietary datasets of antibody sequences, structures, and functional annotations from decades of therapeutic development
  • World-class compute infrastructure - State-of-the-art GPU clusters and cloud resources for training large-scale foundational models
  • Real therapeutic impact - Your models will be validated against real targets and integrated into live drug discovery programs
  • Scientific freedom - We encourage publication, conference participation, and collaboration with leading academic labs
  • Global collaboration - Work with interdisciplinary teams across computational biology, protein engineering, and therapeutic development

What You'll Do

Build the future of protein therapeutics design:

  • Architect and train next-generation foundational models for antibody and NANOBODY® design, including protein language models, structure prediction models, diffusion-based generative models, and multimodal architectures
  • Push the boundaries of generative protein design - develop novel training strategies, fine-tuning approaches, and inference methods that leverage Sanofi's unique biological data assets
  • Bridge research and application - deploy your models into production pipelines where they'll be used to design real therapeutic candidates against challenging targets
  • Validate rigorously - design benchmarking strategies and work with wet-lab teams to experimentally validate model predictions on therapeutically relevant targets
  • Collaborate across disciplines - partner with antibody engineers, structural biologists, screening teams, and therapeutic area experts to understand biological constraints and opportunities
  • Stay at the cutting edge - monitor emerging architectures and methods, evaluate their potential, and rapidly prototype new approaches
  • Contribute to the scientific community - publish your work, present at conferences, and help establish Sanofi as a leader in AI-driven biologics design

About you

What You Bring

Education & Experience:

  • Ph.D. in computational life sciences, computer science, machine learning, bioinformatics, or related field (or M.Sc. with exceptional track record)
  • Deep expertise in modern deep learning architectures - transformers, diffusion models, flow matching, VAEs, or other generative modeling paradigms
  • Hands-on experience training large-scale models - you've trained models with millions to billions of parameters and understand distributed training, optimization strategies, and scaling laws
  • Strong foundation in protein science - understanding of protein sequence-structure-function relationships, ideally with focus on antibodies or therapeutic proteins
  • Publication track record demonstrating impact in foundational model development, generative modeling, and/or computational protein design
  • undefined

Technical Excellence

  • Expert-level Python programming and deep learning frameworks
  • Experience with ML/DL models for protein design (ESM, ProteinMPNN, RFdiffusion, AlphaFold, etc.) - training, fine-tuning, and application
  • Proficiency with distributed training frameworks and cloud/HPC environments
  • Software engineering practices - version control, testing, documentation, reproducibility
  • Familiarity with biological databases, sequence analysis tools, and structural biology software

Personal Attributes:

  • Intellectual curiosity - you're excited by hard scientific problems and driven to solve them
  • Collaborative mindset - you thrive in interdisciplinary environments and can communicate complex technical concepts to diverse audiences
  • Pragmatic innovation - you balance cutting-edge research with practical application and understand the importance of validation
  • Scientific rigor - you design robust experiments, think critically about limitations, and are honest about uncertainty
  • Self-motivated - you can work independently, prioritize effectively, and drive projects forward
  • Passion for impact - you're motivated by the opportunity to develop medicines that improve patients' lives

About us

What We Offer

Scientific Environment:

  • Access to proprietary biological datasets unavailable anywhere else
  • State-of-the-art computational infrastructure (GPU clusters, cloud resources)
  • Freedom to publish and present at top-tier conferences
  • Collaboration with leading academic partners and external research groups
  • Opportunity to shape the future of AI-driven drug discovery

Professional Growth

  • Work alongside world-class experts in protein engineering, structural biology, and machine learning
  • Exposure to the full drug discovery lifecycle - from target selection to pre-clinical development
  • Mentorship opportunities and career development support
  • Access to internal training, conferences, and scientific networks

Impact & Mission:

  • Your work will directly contribute to therapeutic programs addressing serious diseases
  • Be part of Sanofi's mission to chase the miracles of science and improve patients' lives
  • Join a company committed to innovation, scientific excellence, and bold thinking

Culture:

  • Global, diverse, and inclusive team environment
  • Flexible working arrangements
  • Competitive compensation and benefits package

Join us

At Sanofi, we believe the next breakthrough in biologics won't come from incremental improvements - it will come from fundamentally new ways of designing proteins. If you're passionate about building foundational models that will reshape therapeutic development, we want to hear from you.

Our values guide everything we do:

  • Aim Higher - We set ambitious goals and pursue scientific excellence
  • Act for Patients - We're driven by the opportunity to improve lives
  • Be Bold - We take calculated risks and embrace innovation
  • Lead Together - We collaborate across disciplines and geographies

Ready to help us design the medicines of tomorrow?

#LI-Hybrid

#ArtificialIntelligence

#DrugDiscovery

#Sanofi

#SanofiCareers

#PursueProgress

#DiscoverExtraordinary

#WeAreSanofi

#IgnitingPotential

Diversity und Inklusion sind in den Grundwerten von Sanofi verankert und spiegeln sich in unserer Arbeitsweise wider. Wir respektieren die Vielfalt unserer Belegschaft in Hinsicht auf ihre Herkunft, Erfahrungen und Lebensweisen. Wir erkennen die Bereicherung, die diese Vielfalt birgt, und fördern Inklusion sowie eine Arbeitsumgebung, in der diese Unterschiede sich weiter entwickeln können, zur Stärkung des Lebens unserer Mitarbeiter, Patienten und Kunden.