Santa Clara, CA
Senior AI Researcher: LLM post-training for hallucination reduction (f/m/d)
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.
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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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