Friends from Luna Park are looking for a Data Engineer — could be you or someone you know (could be DS, Python dev or ML engineer if you ask me)

Palabra.ai — the first ever real-time voice interpreter: starting as a tiny team of five engineers, they built a speech-to-text solution that works 50 times faster than OpenAI's Whisper!
The interpreter prototype is releasing in a month and will work in Zoom with a two-second delay — right now it’s one of a kind!

They are now looking for a senior engineer, who will write and optimize complex multi-node data pipelines, work on large-scale data scraping and manage datasets that include hundreds of thousands of hours of audio data.

Key requirements:
🟣5+ years of industry experience as a software developer/data engineer;
🟡Python skills (including modern backend frameworks, low-level asyncio, multithreading/multiprocessing);
🔵A good grasp on neural networks and related tools (NumPy, PyTorch, audio-related libraries such as torchaudio, librosa, etc);
🟢Experience in deploying, orchestrating, and scaling multi-node pipelines in the cloud.

Nice-to-haves:
🔘Compilated languages such as Go, C/C++, and Rust;
🔘CUDA or other GPU-related frameworks experience;
🔘Audio processing-related experience.

Salary is $70k-100k, plus equity up to 1%. It’s a fully remote position.

To apply or learn more, reach out to my Luna Park buddy Fedya @owlkov