Founding Lead Machine Learning Engineer
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The role
This is a founding technical role responsible for defining the core ML stack for a new global consumer AI product.
Design, build, and optimize end-to-end training pipelines—from data collection and synthetic data generation to model training and evaluation, then inference.
Design novel architectures or adapt frontier models and apply state-of-the-art fine-tuning methods (LoRA/QLoRA, SFT, DPO, distillation).
Architect scalable inference using modern runtimes (vLLM, TensorRT-LLM, DeepSpeed) and own GPU-optimized deployment and latency strategies.
Develop alignment, safety, and guardrails; implement comprehensive evaluation across performance, robustness, safety, and bias.
Shape early product direction, experiment with new use cases, and lead cross-functional collaboration in a high-performance, founder-like culture.
Design, build, and optimize end-to-end training pipelines—from data collection and synthetic data generation to model training and evaluation, then inference.
Design novel architectures or adapt frontier models and apply state-of-the-art fine-tuning methods (LoRA/QLoRA, SFT, DPO, distillation).
Architect scalable inference using modern runtimes (vLLM, TensorRT-LLM, DeepSpeed) and own GPU-optimized deployment and latency strategies.
Develop alignment, safety, and guardrails; implement comprehensive evaluation across performance, robustness, safety, and bias.
Shape early product direction, experiment with new use cases, and lead cross-functional collaboration in a high-performance, founder-like culture.
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