20 beste Stellen als machine learning in bensheim – aktuell auf Personalsuche

Auto-tuning & Auto-scheduling Software Engineer (m/w/d)
Daisytuner GmbH —Darmstadt
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Ohne Hochschulabschluss
Direkt bewerben
Working Student (m/w/d) - DevOps Support
IMTF —Bensheim
- 18.000 € pro Jahr
- Teilzeit
- Informatik
Direkt bewerben
4 Tage
Praktikant / Werkstudent (m/w/d) Computer Vision (Medizin)
Kite IT GmbH —Mannheim
- Informatik
- Flexible Arbeitszeiten
MSc or BSc Thesis / Internship (m/f/d) AI for Intent-Based Networking
ABB AG —Mannheim
- Vollzeit
- Master
Direkt bewerben
Master's Thesis: Detection of Suggestive Poses and Facial Expressions
Secure Information Technology —Darmstadt
- Master
Master's Thesis: Detection and Segmentation of Suggestive Clothing
Secure Information Technology —Darmstadt
- Master
Consultant Data Science & ML Engineering (m/w/d)
Deloitte Consulting GmbH —Mannheim
- Teilzeit
- Azure
- Hochschulreife
- SQL
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Postdoctoral Researcher - Cryptography & AI (Foundations and Applications)
Secure Information Technology —Darmstadt
- Teilzeit
- Doktorat
- Informatik
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Duales Bachelorstudium im Studiengang Data Science und Künstliche Intelligenz 2027 (m/w/d)
Freudenberg Service KG —Weinheim
- Englisch
- Hochschulreife
- Mathematikkenntnisse
- Kostenbeteiligung am Arbeitsweg
- Weiterbildungsprogramme
Softwareentwickler (m/w/d) bis zu 90% remote möglich - deutschlandweit! Angular, Spring Boot, AI Development
sifamo GmbH —Darmstadt
- Hybrides Arbeiten
- Informatik
- Englisch
- Master
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Direkt bewerben
Masterarbeit: Erklärbarkeit von Transformer-Modellen in der Autorschaftsverifikation
Sichere Informationstechnologie —Darmstadt
- Online-Bewerbung
Masterarbeit: Modellierungsansätze und Loss-Design für präzise Altersschätzung
Sichere Informationstechnologie —Darmstadt
- Online-Bewerbung
- Machine Learning
IT Business Analyst (all genders)
BSI Software AG —Darmstadt
- Persönlich
- Englisch
- Flexible Arbeitszeiten
Duales Bachelorstudium Informatik in der Studienrichtung Informatik mit Ausrichtung künstlicher Intelligenz 2027 (m/w/d)
Freudenberg Service KG —Weinheim
- Englisch
- Hochschulreife
- PC-Kenntnisse
- Kostenbeteiligung am Arbeitsweg
- Weiterbildungsprogramme
Associate Manager & IoT Engineer (all genders)
Accenture —Mannheim
- Vollzeit
- Master
- Unternehmensentwicklung
- Machine Learning
Werkstudierende im Bereich NLP
Sichere Informationstechnologie —Darmstadt
- 18,06 € – 18,78 € pro Stunde
- Master
- Flexible Arbeitszeiten
Software Engineer (all genders)
BSI Software AG —Darmstadt
- Java
- Flexible Arbeitszeiten
AI Engineer (w/m/d)
Power Plus Communications AG —Mannheim
- Vollzeit
- Informatik
- Master
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
5 Tage
Master Thesis Machine Learning for retired Lithium-Ion Cell Sorting (all genders)
Structural Durability and System Reliability —Darmstadt
Duales Studium Data Science und Künstliche Intelligenz (m/w/d), Daimler Truck AG, Werk Mannheim, Studienbeginn 01.10.2027
Daimler Truck AG —Mannheim
- Online-Bewerbung
- Hochschulreife
- Mathematikkenntnisse
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt

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machine learning jobs near bensheim

Auto-tuning & Auto-scheduling Software Engineer (m/w/d)

Daisytuner GmbH
Darmstadt

Direkt bewerben

Details zur Stelle

Festanstellung | Vollzeit

Qualifikationen

Informatik
Master

Vollständige Stellenbeschreibung

Daisytuner is building the software layer for the next generation of computing. We make complex software run efficiently on any processor—from CPUs and GPUs to novel accelerators—using a self-learning compiler and cloud-scale optimization infrastructure.

Our team brings together researchers and engineers from RWTH Aachen, TU Munich, TU Darmstadt, and ETH Zurich to tackle some of the hardest problems in systems and infrastructure software. If you want to work on deeply technical challenges with real-world impact, join us and help shape the future of compute.

As an Auto-tuning & Auto-scheduling Software Engineer at Daisytuner, you will design and implement the algorithms that automatically optimize programs for modern hardware. You will work at the intersection of compiler technology, optimization algorithms, and performance modeling, developing search strategies and cost models for navigating complex compiler scheduling spaces. Unlike traditional parameter tuning, compiler scheduling requires reasoning about large, highly structured combinatorial search spaces where decisions such as loop transformations, tiling, permutation, fusion, vectorization, and memory layout are strongly interdependent. Your work will directly shape the intelligence of our compiler and influence how applications are optimized for CPUs, GPUs, and emerging accelerators.

What you will be doing

Design and implement auto-tuning and auto-scheduling algorithms for performance-critical applications
Design, implement, and evaluate search strategies such as beam search, stochastic search, evolutionary algorithms, reinforcement learning, and hybrid optimization techniques for compiler scheduling and auto-tuning
Reason about large combinatorial search spaces arising from compiler scheduling decisions—including loop transformations, tiling, permutation, fusion, vectorization, and memory layout optimizations—and develop scalable search strategies that efficiently navigate them, rather than relying on traditional parameter tuning techniques
Design and improve analytical and heuristic cost models that predict performance from program structure, memory access patterns, and hardware characteristics
Analyze optimization quality and performance trade-offs across diverse workloads and hardware platforms
Collaborate closely with compiler engineers to integrate new scheduling algorithms and optimization strategies into the compiler framework
Stay up to date with current research in compiler optimization, autotuning, scheduling algorithms, and machine learning for systems

What you are bringing

Master's degree (or equivalent experience) in Computer Science, Mathematics, Electrical Engineering, or a related technical field
Strong C++ skills and experience developing complex software systems
Excellent understanding of algorithms and optimization techniques
Strong background in compiler optimizations, program analysis, compiler scheduling, or intermediate representations
Experience with performance optimization techniques, including loop transformations, cache optimization, vectorization, and parallelization
Experience with combinatorial optimization and search algorithms beyond classical hyperparameter optimization or black-box parameter tuning
Ability to reason about optimization trade-offs, search complexity, and heuristic design for large compiler optimization problems
Experience designing heuristic or analytical cost models for optimization problems
Strong Python skills for experimentation, automation, and evaluation
Experience working with Linux development environments and Git
Ability to independently investigate challenging optimization problems and translate research ideas into production-quality implementations
Strong analytical thinking and a structured approach to solving difficult systems problems

Nice to have

Experience with compiler infrastructures such as LLVM, MLIR, Halide, or similar systems
Experience with performance analysis tools such as perf, VTune, Nsight, or PAPI
Background in high-performance computing, machine learning systems, heterogeneous computing, or performance engineering
Publications or open-source contributions in compilers, programming languages, performance engineering, or optimization algorithms

What we offer

A small, highly technical team with direct impact on core technology
Competitive compensation and potential equity participation
The opportunity to work at the intersection of compilers, machine learning, and high-performance computing
Real ownership over the algorithms that drive the intelligence of our compiler and directly influence optimization quality across diverse hardware platforms

We are an equal opportunity employer and welcome applications from people of all backgrounds. We value diversity and believe that different perspectives make us stronger. We do not discriminate based on gender, nationality, ethnic origin, religion, disability, age, sexual orientation, or identity.

Job Types: Full-time, Permanent

Work Location: Hybrid remote in Darmstadt

Direkt bewerben

Erweiterte Suche

machine learning Jobs in bensheim

Auto-tuning & Auto-scheduling Software Engineer (m/w/d)

Working Student (m/w/d) - DevOps Support

Praktikant / Werkstudent (m/w/d) Computer Vision (Medizin)

MSc or BSc Thesis / Internship (m/f/d) AI for Intent-Based Networking

Master's Thesis: Detection of Suggestive Poses and Facial Expressions

Master's Thesis: Detection and Segmentation of Suggestive Clothing

Consultant Data Science & ML Engineering (m/w/d)

Postdoctoral Researcher - Cryptography & AI (Foundations and Applications)

Duales Bachelorstudium im Studiengang Data Science und Künstliche Intelligenz 2027 (m/w/d)

Softwareentwickler (m/w/d) bis zu 90% remote möglich - deutschlandweit! Angular, Spring Boot, AI Development

Masterarbeit: Erklärbarkeit von Transformer-Modellen in der Autorschaftsverifikation

Masterarbeit: Modellierungsansätze und Loss-Design für präzise Altersschätzung

IT Business Analyst (all genders)

Duales Bachelorstudium Informatik in der Studienrichtung Informatik mit Ausrichtung künstlicher Intelligenz 2027 (m/w/d)

Associate Manager & IoT Engineer (all genders)

Werkstudierende im Bereich NLP

Software Engineer (all genders)

AI Engineer (w/m/d)

Master Thesis Machine Learning for retired Lithium-Ion Cell Sorting (all genders)

Duales Studium Data Science und Künstliche Intelligenz (m/w/d), Daimler Truck AG, Werk Mannheim, Studienbeginn 01.10.2027

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