Founding Lead Machine Learning Engineer
职位介绍
As a founding ML engineer, you will own model choices, training strategy, and long-term architecture for a new global AI product.
You will design end-to-end training pipelines (data → training → eval → inference) and experiment with frontier models (LLMs, multimodal).
Build scalable inference stacks (vLLM, TensorRT-LLM, DeepSpeed) and data systems for high-quality synthetic and real-world data.
Implement alignment, safety, and guardrails, and design evaluation frameworks across performance, robustness, safety, and bias.
Own deployment, GPU optimization, latency reduction, and scaling policies while shaping early product direction.
You will work with a small, senior team in a remote-first environment, delivering high-impact AI experiences from zero.
You will design end-to-end training pipelines (data → training → eval → inference) and experiment with frontier models (LLMs, multimodal).
Build scalable inference stacks (vLLM, TensorRT-LLM, DeepSpeed) and data systems for high-quality synthetic and real-world data.
Implement alignment, safety, and guardrails, and design evaluation frameworks across performance, robustness, safety, and bias.
Own deployment, GPU optimization, latency reduction, and scaling policies while shaping early product direction.
You will work with a small, senior team in a remote-first environment, delivering high-impact AI experiences from zero.
查看完整职位
工作职责、任职要求、技能与福利 — 免费创建账号即可查看。
已有账户？ 登录
相似职位
其他可能适合您的职位。