Job
- Level
- Erfahren
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Gehalt
- 5.315 bis 5.792€ Brutto/Monat
Job Zusammenfassung
In dieser Position entwickelst du maschinelles Lernen-Modelle in Python, arbeitest mit komplexen Datensätzen, reproduzierst wissenschaftliche Methoden und kooperierst mit interdisziplinären Teams.
Job Technologien
Deine Rolle im Team
- Design, implement, and optimize machine learning models using Python.
- Work with large, complex, and heterogeneous datasets in a research setting.
- Review, interpret, and reproduce methods from scientific literature.
- Collaborate with cross-functional stakeholders, including experimental scientists, to understand data generation processes and research needs.
- Communicate technical findings clearly to both technical and non-technical audiences.
- Contribute to best practices in code quality, reproducibility, and documentation.
Unsere Erwartungen an dich
Ausbildung
- University degree in Computer Science, Data Science, Bioinformatics, or a related quantitative field.
Qualifikationen
- Strong programming skills in Python e.g., NumPy, pandas, PyTorch/TensorFlow or similar.
- Solid understanding of machine learning principles and model development workflows.
- Familiarity with deep learning or advanced modelling approaches is a plus.
- Demonstrated ability to read and implement methods from scientific publications.
- Interest in working at the interface of computational and experimental research.
- Strong problem-solving skills and attention to detail.
- Effective communication skills and ability to collaborate in interdisciplinary teams.
Unser Angebot
- The position is limited to 12 months, is full-time and located in Frankfurt, Germany.
- We ensure your financial stability with a competitive salary between 5.315,00€ and 5.792,00€ per month (full-time) plus annual bonus, holiday bonus, and Christmas bonus/13th-month salary.
- 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.
- We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.
- We promote health awareness and self-care.
- We encourage sustainable mobility by providing climate-friendly transportation options such as job tickets and leased company bike.
- As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.
- We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
Benefits
Work-Life-Integration
Gesundheit, Fitness & Fun
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Bayer AG
Die Bayer AG ist ein international agierendes Unternehmen, das sich auf die Bereiche Gesundheit und Ernährung spezialisiert hat. Unser Fokus liegt auf der Entwicklung von Produkten und Dienstleistungen, um den Menschen und dem Planeten Gutes zu tun. Gemeinsam arbeiten wir an Lösungen, um den globalen Herausforderungen einer wachsenden und alternden Weltbevölkerung gerecht zu werden.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Pharma, Chemie, Biotech
Machine Learning Engineer
- Gehalt
- 5.315 bis 5.792€ Brutto/MonatNetto aus dem Bruttogehalt im Inserat mit Steuerklasse I umgerechnet.3.290 bis 3.527 € netto/Monat · Steuerklasse I
- Ort
- Frankfurt am Main
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
