Senior AI Researcher: LLM post-training for hallucination reduction (f/m/d)
Aleph Alpha· Research
Hybrid (Heidelberg), Hybrid (Berlin)Full-timePosted 1w ago
About the role
Senior AI Researcher focused on LLM post-training to reduce hallucinations, grounding models in evidence, and improving uncertainty estimation, calibration, and self-correction. Hybrid, Heidelberg/Berlin, full-time.
Responsibilities
- Core Research & Development: Design, execute, and scale post-training methodologies (SFT, RL) specifically aimed at eliminating model hallucinations and making them grounded in evidence.
- Uncertainty & Reliability: Research and implement techniques in uncertainty estimation, calibration, self-consistency, and self-correction mechanisms to enable models to identify and signal when they “don't know”.
- Post-Training Pipelines: Build and optimize high-throughput, distributed fine-tuning and training pipelines across multi-node GPU clusters.
- Evaluation & Benchmarking: Design and implement rigorous evaluation methods to benchmark hallucination rates, truthfulness, and reasoning accuracy.
- Technical Ownership: Drive research projects independently from initial hypothesis to scalable production implementation and technical reports.
Qualifications
- Hands-on experience fine-tuning or post-training LLMs using modern distributed training frameworks.
- Track record of research or implementation in at least one of the following domains: Hallucination mitigation / truthfulness alignment / grounding in RAG; Uncertainty estimation, or out-of-distribution detection; Retrieval-Augmented Generation evaluation / alignment, refusal behavior calibration, or claim verification.
- Strong programming skills (Python & PyTorch).
Skills
Required:Fine-tuning or post-training of LLMsHallucination mitigation / truthfulness alignment / grounding in RAGUncertainty estimation / out-of-distribution detectionPythonPyTorch
Nice to have:Retrieval-Augmented Generation evaluation / alignment / claim verification
Benefits
- 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
Last updated Oct 14, 2026. Interested? Apply on the company site.
About Aleph Alpha
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