njng
Location: Munich, Germany
Remote: yes, hybrid is also possible.
Willing to relocate: yes, within Europe only.
Technologies: Python, C++, Metal, JAX, Pytorch, Docker, various ML tools.
Résumé/CV: https://nicholasjunge.com/about/cv.pdf
Email: [email protected]
I am a regular open source contributor around the scientific Python ecosystem, with JAX, LLVM and nanobind to name a few projects I have contributed to. I enjoy diving deep into problems and working out quality solutions, and can work on open problems with little guidance.
Location: Munich, Germany
Remote: yes, though hybrid is also possible.
Willing to relocate: yes
Technologies: Python, C++, Metal, JAX, Pytorch, Docker, various ML tools.
Résumé/CV: https://nicholasjunge.com/about/cv.pdf
Email: [email protected]
I am a regular open source contributor around the scientific Python ecosystem, with JAX, LLVM and nanobind to name a few projects I have contributed to. I enjoy diving deep into problems and working out quality solutions, and can work on open problems with little guidance.
I planned this as just an exercise for me to learn more about MSL, GPU kernel programming, and to shake off the rust on numerics accumulated since studies, but if anyone wants to try it, you can find it at https://github.com/nicholasjng/palladium.
Remote: yes
Willing to relocate: yes
Technologies: Python, C++, some TypeScript and Rust, Docker, some Kubernetes, build systems (Make, CMake, Bazel). Familiar with Python CPU/GPU computing libs like NumPy, SciPy, JAX, PyTorch.
Résumé/CV: https://www.linkedin.com/in/nicholas-junge
Email: nicho [dot] junge [at] gmail.com
Looking for a job in software engineering or research, preferably with focus on ML / scientific computing, since that's what I consider myself good at. I am a regular contributor to open source projects (nicholasjng on GitHub), notably in benchmarking (google/benchmark and aai-institute/nnbench), scientific computing (JAX) and Python<->C++ interop (nanobind). Ideally, in my next role I want to pick up more Rust, solidify my C++ knowledge, and also work on compiler tech including, but not limited to ML compilers like MLIR, XLA, and Triton. Merged my first MLIR PR a few weeks back, hopefully more to come soon.
Remote: Yes
Willing to relocate: Yes, within Germany or to Norway/Denmark/Sweden.
Technologies: Python, C++, Docker, Kubernetes, GCP, SQL, the Python ML/DS Stack (numpy, scipy, pandas, scikit-learn, matplotlib, Tensorflow, JAX). First experience in React+typescript (with next.js).
Résumé/CV: https://www.nicholasjunge.com/cv.pdf
Email: nicho[dot]junge[at]gmail[dot]com
I'm a software dev with math/physics background, primarily focused on machine learning and data science/engineering. My main topics of study were theoretical physics, statistics, numerical analysis and ML.
I have worked with some other tools that fit the broader "MLOps" job description too, like Docker/Kubernetes, primarily on GCP. I would like to continue my career in this space (ideally as an MLOps / Data Engineer).
On the side, I have been contributing to a couple of FOSS projects, like Google Benchmark, JAX and ZenML. My latest project is pybm, a Python CLI for reproducibly benchmarking code throughout a git history. You can find it along with several other projects on my github at https://github.com/nicholasjng.
Remote: Yes
Willing to relocate: Yes, but only within Germany or to Norway
Technologies: Python, C++, Docker, Kubernetes, GCP, AWS, SQL, the Python ML/DS Stack (pandas, scikit-learn, numpy, scipy, matplotlib, Tensorflow, JAX), first experience in Typescript/React (with next.js).
Résumé/CV: https://www.nicholasjunge.com/cv.pdf
Email: nicho[dot]junge[at]gmail[dot]com
I'm a software dev with math/physics background, primarily focused on machine learning and data science/engineering. I can operate some other tools that fit the broader "MLOps" job description too, like Docker/Kubernetes, and some ML-related products of GCP and AWS. I did some webdev work in training visualizations for ML algorithms and for my personal website.
My main topics of study were statistics, ML, and analysis; I am fit in theoretical ML/DL concepts and numerical programming, allowing me to develop and implement performant algorithms.
On the side, I have been contributing to a couple of OSS projects, e.g. Google Benchmark and JAX. My latest project is pybm, a Python CLI for reproducibly benchmarking code throughout a git history. You can find it along with several other smaller projects in my github profile at https://github.com/nicholasjng.
Remote: Yes
Willing to relocate: Yes
Technologies: Python, C++, a bit of React and Go, git, SQL, the Python Data Science Stack (numpy/scipy/pandas etc.), Tensorflow, JAX.
Résumé/CV: https://www.linkedin.com/in/nicholas-junge/
Email: nicho.junge[at]gmail[dot]com
I am a physics/math grad turned software developer with about 3 years of experience, looking for a new full-time job. I have sound knowledge in Numerical Computing, Statistics and Machine Learning, along with practical experience in ML Engineering and Data Science. I am most familiar with Python as that's been my day job for the last 3 years, but I have C++ experience as well.
I post my personal projects on my Github at https://github.com/nicholasjng . Also, I started contributing to some open source projects like JAX and Google Benchmark in the past year. In that regard, my main focus has been my hobby project pybm, a CLI for easily benchmarking and comparing Python code performance between different reference points in a git history with only three commands. (Also the reason why I felt confident listing git under my "technologies" :))