Remote: Yes
Willing to relocate: Not until 2027
Technologies:
ML / DS: PyTorch, CUDA, distributed training & inference, performance profiling/optimization (audio & speech focus, some LLM inference acceleration)
Systems: C/C++/asm, low-level performance work, reliability/scale engineering
Backend / Infra: Python/Java/C# prod services, ETL / data pipelines, k8s (incl. operator work)
Roles: Tech Lead, Research Engineer (training and/or inference of large models)
Résumé/CV: https://www.linkedin.com/in/roeeshenberg/
Email: roee.shenberg@upai.dev
I’m a hands-on engineer who’s spent the last 6 years doing freelance ML + data science, primarily in audio/speech, and before that 10+ years in startups building and scaling production systems.
I’m looking for where research meets real systems: training and/or inference for large models, especially roles that value end-to-end ownership. Open to freelance engagements or full-time roles.