PeopleofSuperintelligence

Researcher

Benedikt Schifferer

Benedikt Schifferer is an NVIDIA researcher whose work spans tactile sensing, recommender systems, retrieval, and mathematical reasoning. Before NVIDIA, he developed recommender systems for a German ecommerce company; he helped build NVIDIA Merlin and wrote about neural-network recommenders. He coauthored research on reranking for question answering and on visual document retrieval. In 2025, his team won AIMO-2 with a mathematical reasoning system built on OpenMathReasoning, tool-integrated reasoning, and generative selection. As of October 2026, he is a manager of an applied research team at NVIDIA focused on information retrieval and large language models.

Now at
NVIDIA
Works
27
Citations
127
h-index
5
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 2020

    Data-driven touch sensing

    Before NVIDIA, he develops recommender systems for a German ecommerce company. In 2020, he coauthors a study on data-driven touch sensing in a multicurved robotic finger. He holds a Master of Science in Data Science from Columbia University.

  2. 2021

    Neural recommenders and competition wins

    In 2021, he writes a technical guide to neural-network recommenders, covering embeddings, deep models, and session-based recommendations. He helps build NVIDIA Merlin. His NVIDIA team wins first place in the ACM RecSys Challenge by predicting user engagement and providing fair recommendations.

  3. 2024

    Reranking for question answering

    In 2024, he coauthors a study that benchmarks ranking models for question-answering retrieval and introduces NV-RerankQA-Mistral-4B-v3. The paper reports about 14% higher accuracy than pipelines with other rerankers.

  4. 2025

    OpenMathReasoning and AIMO-2

    In 2025, his NVIDIA team wins the AI Mathematical Olympiad – Progress Prize 2 (AIMO-2). He coauthors the winning report on OpenMathReasoning, a math reasoning dataset for language models, with tool-integrated reasoning and generative solution selection.

  5. 2026

    Nemotron ColEmbed V2

    In 2026, he coauthors Nemotron ColEmbed V2, a family of embedding models for visual document retrieval.

  6. As of October 2026

    Manager of applied research

    As of October 2026, he is a manager of an applied research team at NVIDIA working on information retrieval and large language models.

Career

  1. Since 2020NVIDIAManager of an applied research team

Education

  1. Columbia UniversityMaster of Science in Data Science

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. A Sensorized Multicurved Robot Finger With Data-Driven Touch Sensing via Overlapping Light Signals2020 · IEEE/ASME Transactions on Mechatronics · 59 citations
  2. GPU Accelerated Feature Engineering and Training for Recommender Systems2020 · 21 citations
  3. GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems2021 · 10 citations
  4. Improving Text Embedding Models with Positive-aware Hard-negative Mining2025 · ACM International Conference on Information and Knowledge Management (CIKM) · 8 citations
  5. Tutorial: Feature Engineering for Recommender Systems2020 · 7 citations

From OpenAlex, as of 18 October 2026.

  1. 14% of AI career moves in the 2020s went from a university to a companyIncludes Benedikt Schifferer. Our estimates of how university-to-company career transitions changed by decade, including roles added alongside an earlier job.
  2. Google alumni founded or led 82 other organizations, the most among the labs we compareIncludes NVIDIA. We trace 189 organizations founded or led by AI lab alumni, and 196 career moves between the labs.
  3. 44% of AI career moves go from one university to anotherIncludes NVIDIA. We estimate how 12,774 AI career moves link universities, companies, labs and government research centers, with net flows and the most common paths.
  4. Google has the highest combined h-index among AI organizationsIncludes NVIDIA. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Benedikt Schifferer yet. Send us a free-licensed photo.

  1. A Sensorized Multicurved Robot Finger with Data-driven Touch Sensing via Overlapping Light Signals arxiv.org. Checked 18 October 2026.
  2. Author: Benedikt Schifferer | NVIDIA Technical Blog developer.nvidia.com. Checked 18 October 2026.
  3. Using Neural Networks for Your Recommender System | NVIDIA Technical Blog developer.nvidia.com. Checked 18 October 2026.
  4. NVIDIA Earns 1st Place in RecSys Challenge 2021 | NVIDIA Technical Blog developer.nvidia.com. Checked 18 October 2026.
  5. Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG arxiv.org. Checked 18 October 2026.
  6. NVIDIA Team Scores Kaggle Win With Reasoning Model | NVIDIA Blog blogs.nvidia.com. Checked 18 October 2026.
  7. AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset arxiv.org. Checked 18 October 2026.
  8. nvidia/OpenMathReasoning · Datasets at Hugging Face huggingface.co. Checked 18 October 2026.
  9. [2602.03992] Nemotron ColEmbed V2: Top-Performing Late Interaction Embedding Models for Visual Document Retrieval arxiv.org. Checked 18 October 2026.