Die KI-Suchmaschine für Jobs
Reinforcement Learning Intern(m/w/x)
Building end-to-end RL pipelines and prototyping control policy learning. Master's degree in CS, AI/ML, or related field required. International, diverse, equitable, and inclusive work environment.
Anforderungen
- Master's degree in Computer Science, AI/ML, Applied Mathematics, Control, or Engineering
- Foundations in reinforcement learning / sequential decision-making (MDPs, policy/value methods, offline RL or related areas)
- Solid programming skills (Python)
- Experimental mindset with hands-on coding, data handling, debugging experience
- Curiosity and motivation for RL and applied ML research
- English (professional working proficiency)
- French (plus)
Aufgaben
- Build end-to-end RL pipelines
- Prototype RL approaches for control policy learning
- Benchmark RL approaches for control policy learning
- Design exploration strategies
- Design reward functions
- Work with simulated environments
- Ensure methods translate beyond training setups
- Evaluate algorithms rigorously
- Perform ablations
- Perform sensitivity analyses
- Perform generalization tests
- Communicate findings to stakeholders
- Improve data/experiment workflows
- Improve dataset handling
- Improve experiment tracking
- Improve computing efficiency
- Stay close to current RL research
- Translate relevant RL ideas into applied solutions
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Französisch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- TensorFlow
Benefits
Lockere Unternehmenskultur
- International, diverse, equitable and inclusive work environment
Sinnstiftende Arbeit
- Opportunities to have an impact
Weiterbildungsangebote
- Endless learning opportunities
Sonstige Vorteile
- Enriching experiences
Mentoring & Coaching
- Strong mentorship
Noch nicht perfekt?
- Nestlé Deep Tech CenterVollzeitPraktikumnur vor OrtOrbe
- Nestlé Deep Tech Center
Physics Informed Machine Learning Intern(m/w/x)
VollzeitPraktikumnur vor OrtOrbe - Nestlé Deep Tech Center
Senior / Principal Applied Machine Learning Scientist(m/w/x)
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Nutrition Intern(m/w/x)
VollzeitPraktikumnur vor OrtOrbe - BOBST
Head of IT Products R&D & PLM(m/w/x)
Vollzeitnur vor OrtManagementMex (VD)
Reinforcement Learning Intern(m/w/x)
Building end-to-end RL pipelines and prototyping control policy learning. Master's degree in CS, AI/ML, or related field required. International, diverse, equitable, and inclusive work environment.
Anforderungen
- Master's degree in Computer Science, AI/ML, Applied Mathematics, Control, or Engineering
- Foundations in reinforcement learning / sequential decision-making (MDPs, policy/value methods, offline RL or related areas)
- Solid programming skills (Python)
- Experimental mindset with hands-on coding, data handling, debugging experience
- Curiosity and motivation for RL and applied ML research
- English (professional working proficiency)
- French (plus)
Aufgaben
- Build end-to-end RL pipelines
- Prototype RL approaches for control policy learning
- Benchmark RL approaches for control policy learning
- Design exploration strategies
- Design reward functions
- Work with simulated environments
- Ensure methods translate beyond training setups
- Evaluate algorithms rigorously
- Perform ablations
- Perform sensitivity analyses
- Perform generalization tests
- Communicate findings to stakeholders
- Improve data/experiment workflows
- Improve dataset handling
- Improve experiment tracking
- Improve computing efficiency
- Stay close to current RL research
- Translate relevant RL ideas into applied solutions
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Französisch – Grundkenntnisse
Tools & Technologien
- Python
- PyTorch
- TensorFlow
Benefits
Lockere Unternehmenskultur
- International, diverse, equitable and inclusive work environment
Sinnstiftende Arbeit
- Opportunities to have an impact
Weiterbildungsangebote
- Endless learning opportunities
Sonstige Vorteile
- Enriching experiences
Mentoring & Coaching
- Strong mentorship
Über das Unternehmen
Nestlé
Branche
Food
Beschreibung
Das Unternehmen ist führend in Ernährung, Gesundheit und Wellness und bietet Produkte für verschiedene Lebenssituationen an.
Noch nicht perfekt?
- Nestlé Deep Tech Center
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Physics Informed Machine Learning Intern(m/w/x)
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Senior / Principal Applied Machine Learning Scientist(m/w/x)
Vollzeitnur vor OrtSeniorOrbe - Nestle Operational Services Worldwide SA
Nutrition Intern(m/w/x)
VollzeitPraktikumnur vor OrtOrbe - BOBST
Head of IT Products R&D & PLM(m/w/x)
Vollzeitnur vor OrtManagementMex (VD)