We are looking for a systems-level engineer to own Fastino’s model platform end-to-end.
You will design and build training pipelines.
You will own the platform that turns models into production systems.

What You’ll Work On:

Architect distributed fine-tuning pipelines for small encoder and decoder models
Implement LoRA, adapters, distillation, and compression workflows
Design experiment tracking, reproducibility, and dataset versioning systems

Strong candidates will have:

Deep experience with PyTorch and transformer architectures
Experience building production ML systems end-to-end
Experience with distributed training and inference

Bonus:

Experience with RL or RLHF
Experience with distillation and compression

Fastino

Fastino is building the next generation of LLMs, with a team of alumni from Google Research, Apple, Stanford, and Cambridge. Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb.

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