Founding Lead Machine Learning Engineer
Ist diese Stelle etwas für Sie?
Lebenslauf erstellen Erstellen Sie Ihren Lebenslauf und entdecken Sie Ihre Übereinstimmung mit dieser Stelle — und mit allen anderen.
Die Stelle
Own the full ML product lifecycle: data collection & curation, training, evaluation, and deployment.
Design and extend model architectures, including adapting frontier open-source models for real-world use.
Implement state-of-the-art fine-tuning and alignment methods (LoRA/QLoRA, SFT, DPO, distillation).
Architect scalable inference systems using vLLM, TensorRT-LLM, and DeepSpeed with GPU-focused optimization.
Build robust data systems for high-quality synthetic and real-world training data; develop evaluation frameworks covering performance, robustness, safety, and bias.
Shape early product direction, explore frontier techniques (retrieval-augmented training, mixture-of-experts, multimodal models), and own end-to-end delivery.
Design and extend model architectures, including adapting frontier open-source models for real-world use.
Implement state-of-the-art fine-tuning and alignment methods (LoRA/QLoRA, SFT, DPO, distillation).
Architect scalable inference systems using vLLM, TensorRT-LLM, and DeepSpeed with GPU-focused optimization.
Build robust data systems for high-quality synthetic and real-world training data; develop evaluation frameworks covering performance, robustness, safety, and bias.
Shape early product direction, explore frontier techniques (retrieval-augmented training, mixture-of-experts, multimodal models), and own end-to-end delivery.
Die vollständige Anzeige sehen
Aufgaben, Anforderungen, Kompetenzen und Vorteile — mit Ihrem kostenlosen Konto.
Bereits ein Konto? Anmelden
Ähnliche Stellen
Weitere Positionen, die passen könnten.