# Max Reyer

Max Reyer is a remote worker on Himalayas, Independent Contractor at Mercor Intelligence; Handshake AI, based in United States.

Source: https://himalayas.app/@maxreyer

```text
Physics researcher at Mercor Intelligence and Handshake AI who evaluated LLM physics reasoning and wrote rubrics for a SciCode-style benchmark.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | United States |
| Authorized to work in | United States |
| Salary expectations | 90k+ USD |
| Job categories | Physics Researcher, AI Researcher, High Performance Computing Engineer, Scientific Software Engineer |
| Skills | Physics, Algorithm Development, High Performance Computing, Monte Carlo Methods, LLM Evaluation, Synthetic Data Generation, Distributed Computing, Parallelization, Performance Optimization, Benchmarking, Scientific Computing, Data Analysis, Simulation, Data Pipelines, ODE Solvers |

## About

```text
At Mercor Intelligence and Handshake AI, I evaluated and annotated LLM physics reasoning for top AI labs and wrote JSON rubrics for a SciCode-style benchmark.

At the University of Freiburg, I extended an algorithm for automating perturbative Monte Carlo simulations in Sherpa (C++). This cut higher-order terms by 50%-70%, boosting efficiency of synthetic AI training data generation.

For CERN’s CMS, I computed 1%-5% theory corrections on HPC clusters and advised on incorporating them. I also automated symbolic manipulation of analytic expressions with ∼100k terms in Mathematica.

At the University of Göttingen, I deployed simulations across distributed HPC clusters and processed ∼100GB of data with parallel Python scripts. At CERN, I implemented C++ algorithms that improved signal extraction in large datasets by up to 180%.
```

## Experience

### Independent Contractor (current)

Mercor Intelligence; Handshake AI. Jan 2026 - Present

```text
Evaluated and annotated LLM physics reasoning for top AI labs; wrote JSON rubrics for a SciCode-style benchmark.
```

Skills: LLM-Evaluation, Annotations, JSON, Physics-Reasoning, Benchmarking

### PhD Researcher

University of Freiburg. Jan 2018 - Jan 2025

```text
Automated symbolic manipulation of analytic expressions and extended a core algorithm for perturbative Monte Carlo simulations. Computed theory corrections for CERN's CMS on HPC clusters and managed multiple research projects.
```

Skills: Mathematica, C++, Sherpa, HPC, Monte-Carlo, Algorithm-Development, Performance-Optimization, Cluster, Autotools, Make, BASH, Python, Git, LaTeX, Markdown

### MSc Researcher

University of Göttingen. Jan 2017 - Jan 2018

```text
Deployed complex simulations on distributed HPC clusters, managed parallel jobs, and processed large datasets. Built data analysis pipelines and produced visualizations.
```

Skills: C++, Python, HPC, Parallel-Computing, Data-Analysis, Matplotlib, Monte-Carlo, Simulation, BASH, Git

### Summer Student Intern

[CERN](https://himalayas.app/companies/cern). Jan 2015 - Jan 2015

```text
Implemented advanced C++ algorithms for rare event detection, improving signal extraction in large datasets. Scaled and optimized methods using Python and HPC resources.
```

Skills: C++, Python, HPC, Algorithm-Development, Data-Analysis, Performance-Optimization

## Education

### University of Freiburg

PhD, Physics. 2018 - 2024. Grade: summa cum laude

```text
PhD in Physics with summa cum laude, supported by RTG 2044 scholarship.
```

### University of Göttingen

MSc, Physics. 2014 - 2018

```text
MSc in Physics, with CERN summer student scholarship.
```

### University of Göttingen

BSc, Physics and Mathematics. 2011 - 2018

```text
BSc in Physics and Mathematics (double major).
```

## Tech stack

- Kubernetes
- Docker Compose
- Borg
- Nextcloud
- Python
- Markdown
- JSON
- C++
- MATLAB
- PyTorch
- Linux
- Git
- Docker
- Ollama
- Bash
- K3s
- Make
- Matplotlib

To contact Max, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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