Founding AI/ML Research Engineer
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The role
Lead the technical direction for a new consumer AI product by shaping model selection, training strategy, and scalable architectures.
Own end-to-end pipelines from data collection to training, evaluation, and deployment, and design novel model architectures or adapt frontier open-source models.
Fine-tune models with LoRA/QLoRA, SFT, DPO, and distillation; architect scalable inference using vLLM, TensorRT-LLM, or DeepSpeed.
Build data systems for high-quality synthetic and real-world training data, and develop alignment, safety, and guardrail strategies.
Shape early product direction, experiment with new use cases, and ship AI-powered experiences from zero while owning GPU optimization and latency reductions.
Operate with extreme ownership in a zero-to-one setting, collaborating with senior engineers, and establishing long-term technical standards.
Own end-to-end pipelines from data collection to training, evaluation, and deployment, and design novel model architectures or adapt frontier open-source models.
Fine-tune models with LoRA/QLoRA, SFT, DPO, and distillation; architect scalable inference using vLLM, TensorRT-LLM, or DeepSpeed.
Build data systems for high-quality synthetic and real-world training data, and develop alignment, safety, and guardrail strategies.
Shape early product direction, experiment with new use cases, and ship AI-powered experiences from zero while owning GPU optimization and latency reductions.
Operate with extreme ownership in a zero-to-one setting, collaborating with senior engineers, and establishing long-term technical standards.
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