20 beste Stellen als researcher in heidelberg – aktuell auf Personalsuche

Senior AI Researcher- Pre-training (f/m/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Machine Learning
- Künstliche Intelligenz
- Python
- Flexible Arbeitszeiten
ARISE2 Postdoctoral Fellowship - 2026 Call
European Molecular Biology Laboratory (EMBL) —Heidelberg
- 3.228,38 € – 4.118,45 € pro Monat
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Künstliche Intelligenz
- Umzugskostenzuschuss
- Homeoffice-Möglichkeit
Direkt bewerben
22 Std.
Senior AI Researcher - Pre-training Data (m/f/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
- Flexible Arbeitszeiten
Machine Learning Engineer – Language Models and Agentic AI for Scientific Imaging
Deutsches Krebsforschungszentrum —Heidelberg
- Vollzeit
- Doktorat
- Informatik
- Master
- Flexible Arbeitszeiten
Postdoctoral Researcher – Translational Oral Biofilm Research (m/f/d)
Universitätsklinikum Heidelberg —Heidelberg
- Vollzeit
- Doktorat
- Datenanalyse
- Forschungserfahrung
- Flexible Arbeitszeiten
Postdoctoral Researcher (m/f/d) – Translational Addiction Research
Zentralinstitut für Seelische Gesundheit —Mannheim
- Vollzeit
- Doktorat
- Forschungserfahrung
- Psychologie
UX Researcher (m/w/d)
Verivox —Heidelberg
- Vollzeit
- Informatik
- Englisch
- Künstliche Intelligenz
- Mitarbeiter-Rabatt
- Flexible Arbeitszeiten
Direkt bewerben
Senior AI Researcher- Reinforcement learning (f/m/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Master
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Student Assistant (m/w/d) in research
HeiGIT —Heidelberg
- Teilzeit
- Machine Learning
- Python
- Flexible Arbeitszeiten
Direkt bewerben
PhD – Position (m/f/d)
Universitätsklinikum Heidelberg —Heidelberg
- Teilzeit
- Doktorat
- Krankenhaus
- Master
Student Assistant (max. 37 hours/month)
Deutsches Krebsforschungszentrum —Heidelberg
- Forschungserfahrung
- Master
- Bachelor
- Flexible Arbeitszeiten
PhD/Postdoc position in computational biology to elucidate NR2F1 dosage dependent regulatory networks in health and disease (m/f/d)
Universitätsklinikum Heidelberg —Heidelberg
- Vollzeit
- Doktorat
- Datenanalyse
- Python
9 Tage
AIRBAG 2026 - International Young Talent Program
Chemical Technology —Mannheim
Postdoctoral Researcher (m/f/d) B Cell Immunology & Single-Cell Technologies (Team TAP)
BioMed X AG —Heidelberg
- Doktorat
- Datenanalyse
- Python
11 Std.
Talent Acquisition Manager (Maternity cover) (f/m/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Künstliche Intelligenz
- Analytik
- Flexible Arbeitszeiten
Doctoral Researchers: up to 6 Fully Funded Positions in Data Science and Health
Deutsches Krebsforschungszentrum —Heidelberg
- Vollzeit
- Master
9 Tage
Adjunct Instructor in Data Science Computer - Science (Immediate Appointment)
Schiller International University —Heidelberg
- Teilzeit
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Direkt bewerben
10 Tage
Senior AI R&D Engineer - Performance - Pre-training (f/m/d)
Aleph Alpha —Heidelberg
- Vollzeit
- Hybrides Arbeiten
- Master
- Machine Learning
- APIs
- Flexible Arbeitszeiten
Scientist in Power System Analysis and Optimization Algorithms (f/m/d)
Hitachi Rail —Mannheim
- Vollzeit
- Doktorat
- Informatik
- Master
18 Std.
Scientist in Power System Analysis and Optimization Algorithms (f/m/d)
Hitachi —Mannheim
- Vollzeit
- Doktorat
- Informatik
- Master
17 Std.

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Senior AI Researcher- Pre-training (f/m/d)

Aleph Alpha
Heidelberg

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

PyTorch
Machine Learning
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Our Mission

Aleph Alpha is one of the few companies in Europe doing serious foundation model pre-training. Our customers — in finance, manufacturing, and public administration — need models that understand German, meet European regulatory requirements, and work reliably in high-stakes settings. We’re building that in Heidelberg.

We are hiring a Senior AI Researcher to join our Pre-training team and to advance the architecture and training of our next generation of foundation models. If you are excited about designing inference-efficient architectures, optimising training recipes that scale reliably, and training models on a large scale cluster (thousands of NVIDIA Blackwell GPUs), we would love to hear from you.

Team Culture

We foster a culture built on ownership, autonomy, and empowerment. Teams and individual contributors are trusted to take responsibility for their work and drive meaningful impact. We maintain a flat organisational structure with efficient, supportive management that enables quick decision-making, open communication, and a strong sense of shared purpose. We collaborate closely on complex technical problems, working in pairs or using mob programming to resolve challenging issues.

About the Role

As a Senior AI Researcher in Pre-training (f/m/d), you will own the critical technical levers that determine the success of our next-generation models: architecture, optimization, stability, and scaling.

Working at the high-leverage intersection of research and engineering, you will translate mathematical reasoning and empirical observations into principled training decisions - from small-scale proxy experiments to multi-thousand-GPU runs.

We are looking for an expert who can combine rigorous experimental design with high-quality production code, directly influencing model quality, run reliability, and the efficiency of the models we ship.

Your Responsibilities

Recipe & Architecture Optimization: Own core elements of the training recipe (optimizers, schedules, initialization) and design PyTorch-based architectural improvements to maximize convergence, stability, and training efficiency.
Scaling Strategy & Predictability: Develop hyperparameter scaling laws and scale-up methodologies, using small-scale proxy experiments to reliably predict multi-thousand-GPU behavior and de-risk major training decisions.
Stability, Diagnostics & Debugging: Investigate complex convergence issues (loss spikes, divergence) and resolve hard-to-reproduce distributed system failures like communication bottlenecks, race conditions, and synchronization errors.
System-Model Co-Design: Partner with Compute Performance, Data, Evaluation, and Post-Training teams to align the model lifecycle with hardware constraints, memory bandwidth, and communication topologies.

Core Qualifications

You are proficient in Python and deeply familiar with PyTorch-based training workflows.
You have a strong track record in machine learning research and software engineering, demonstrated through shipped models, impactful open-source contributions, or published research.
You have a strong mathematical foundation and are comfortable reasoning formally about optimisation, scaling behaviour, and training dynamics.
You deeply understand transformer training dynamics, optimisation, and the behaviour of large distributed training jobs.
You can design rigorous experiments, reason clearly from noisy results, and translate empirical observations into robust training decisions.
Hands-on experience pre-training large models (e.g., 7B+ parameters) on substantial infrastructure (e.g., 100+ GPU clusters).

You apply strong software engineering practices, including writing maintainable, well-tested code and supporting reproducible experimentation workflows.
You are able to implement complex model architectures efficiently and reliably and to debug complex issues across model code, training dynamics, and distributed systems.
You collaborate effectively within a research and engineering team and communicate clearly about your work across Pre-training and the broader AAR/AA organization.
You are able to work in Germany and collaborate regularly on site in Heidelberg as part of the Pre-training team.

Preferred Qualifications

(We encourage you to apply even if you don't check every box!)

Large-Scale Training: Hands-on experience training LLMs or multimodal models on large GPU clusters using distributed frameworks (e.g., Megatron-LM, DeepSpeed, torchtitan).
Predictive Scaling: Familiarity with scaling laws, hyperparameter transfer, or methods for predicting large-scale training behavior from smaller proxy runs.
Stability & Performance: Experience profiling distributed jobs and diagnosing training anomalies like loss spikes, numerical instability, or optimizer pathologies.
Advanced Architectures: Exposure to sparse training approaches (e.g., Mixture-of-Experts) and an understanding of their routing and systems trade-offs.
Track Record of Impact: Demonstrated research excellence through top-tier publications (NeurIPS, ICML, ICLR), impactful open-source contributions, or significant shipped technical work.
Systems Curiosity: Low-level kernel optimization is not required, but we highly value a strong curiosity about the hardware and systems constraints that shape scale.

What we offer

Become part of an AI revolution!
30 days of paid vacation
Access to a variety of fitness & wellness offerings via Wellhub
Mental health support through nilo.health
Substantially subsidized company pension plan for your future security
Subsidized Germany-wide transportation ticket
Budget for additional technical equipment
Flexible working hours for better work-life balance and hybrid working model
JobRad Bike Lease

Jetzt bewerben

Erweiterte Suche

researcher Jobs in heidelberg

Senior AI Researcher- Pre-training (f/m/d)

ARISE2 Postdoctoral Fellowship - 2026 Call

Senior AI Researcher - Pre-training Data (m/f/d)

Machine Learning Engineer – Language Models and Agentic AI for Scientific Imaging

Postdoctoral Researcher – Translational Oral Biofilm Research (m/f/d)

Postdoctoral Researcher (m/f/d) – Translational Addiction Research

UX Researcher (m/w/d)

Senior AI Researcher- Reinforcement learning (f/m/d)

Student Assistant (m/w/d) in research

PhD – Position (m/f/d)

Student Assistant (max. 37 hours/month)

PhD/Postdoc position in computational biology to elucidate NR2F1 dosage dependent regulatory networks in health and disease (m/f/d)

AIRBAG 2026 - International Young Talent Program

Postdoctoral Researcher (m/f/d) B Cell Immunology & Single-Cell Technologies (Team TAP)

Talent Acquisition Manager (Maternity cover) (f/m/d)

Doctoral Researchers: up to 6 Fully Funded Positions in Data Science and Health

Adjunct Instructor in Data Science Computer - Science (Immediate Appointment)

Senior AI R&D Engineer - Performance - Pre-training (f/m/d)

Scientist in Power System Analysis and Optimization Algorithms (f/m/d)

Scientist in Power System Analysis and Optimization Algorithms (f/m/d)

Ich möchte aktuelle Job-E-Mails für Stellen als researcher in heidelberg erhalten

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