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All roles / Aleph Alpha / Senior AI Researcher: LLM post-training for hallucination reduction (f/m/d)

Senior AI Researcher: LLM post-training for hallucination reduction (f/m/d)

Post-Training & RL6d ago
Source verified: this exact posting was present on Aleph Alpha’s careers feed on . View employer source →

What the posting asks for

Names
PyTorch, Python
Doctorate
Mentioned, without saying whether it is needed

Read out of the employer's own description. Absence means the posting does not say, not that the answer is no.

The role

Who we are

Aleph Alpha’s mission is to deliver sovereign, human-centric AI to governmental institutions and large enterprises. To that end, we deliver category-defining AI innovation that enables open, accessible, and trustworthy deployment of GenAI in industrial applications. Our organization develops foundational models and next-generation methods that make it easy and affordable for Aleph Alpha’s customers to increase productivity in development, engineering, logistics, and manufacturing processes.

About the role

We are looking for a (Senior) AI Researcher to join our hallucination reduction capability team to push the boundaries in LLM post-training (SFT and RL).

We're one of the few places in Europe training foundation models from scratch. You will be part of a team of (senior) researchers and PhD interns doing cutting-edge research across pre-, mid- and post-training, grounding and specialized models with hundreds of GPUs at our disposal.

What will you do

  • 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).

  • Compensation and 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

    Published by Aleph Alpha on their own careers page and reproduced here unedited. Read it at Aleph Alpha.

    Apply at Aleph Alpha → Applications go directly to Aleph Alpha. This board does not sit in between, take a fee from you, or see your application.

    What this listing does not tell you

    Listed 6 days, which is recent for this board. Of the 54 post-training and RL roles this board has watched from listing to removal, 4% were gone from their employer's careers page by day 6, and the median came down after 116 days. That is a description of other listings that have already ended, not a prediction about this one: this board records when a listing disappears, never why, and a posting still up is not on a clock it can see.

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