Supervised Fine Tuning Jobs (NOW HIRING)

Familiarity and experience with supervised fine-tuning (SFT) and/or reinforcement learning fine tuning (RLFT) on platforms such as fireworks, Together AI, or Baseten * Familiarity with evaluation ...

Hands-on experience with supervised fine-tuning, instruction tuning, LoRA, QLoRA, parameter-efficient fine-tuning, preference optimization, distillation, quantization, or domain adaptation.

Familiarity and experience with supervised fine-tuning (SFT) and/or reinforcement learning fine tuning (RLFT) on platforms such as fireworks, Together AI, or Baseten * Familiarity with evaluation ...

Demonstrated hands-on experience in post-training and fine-tuning foundation models, including supervised fine-tuning, parameter-efficient methods (e.g., LoRA, QLoRA), preference optimization (e.g ...

Hands-on experience with supervised fine-tuning, instruction tuning, LoRA, QLoRA, parameter-efficient fine-tuning, preference optimization, distillation, quantization, or domain adaptation.

Fine-tune and evaluate foundation models for Entrata-specific use cases using supervised fine-tuning and other post-training methods. * Design and curate high-quality training datasets, including ...

Fine-tune and evaluate foundation models for Entrata-specific use cases using supervised fine-tuning and other post-training methods. * Design and curate high-quality training datasets, including ...

Fine-tune and retrain models (LoRA, PEFT, supervised fine-tuning) using data collected from our deployed fleet * Deploy across our inference surfaces: third-party APIs, self-hosted, and on-robot edge

Fine-tune and retrain models (LoRA, PEFT, supervised fine-tuning) using data collected from our deployed fleet * Deploy across our inference surfaces: third-party APIs, self-hosted, and on-robot edge

Fine-tune and retrain models (LoRA, PEFT, supervised fine-tuning) using data collected from our deployed fleet * Deploy across our inference surfaces: third-party APIs, self-hosted, and on-robot edge

Experience with fine-tuning, supervised fine-tuning, reward modeling, distillation, reinforcement learning, or synthetic data generation is preferred.

Hands-on supervised fine-tuning of embedding or reranking models with measurable production gains. * Experience with healthcare data (claims, electronic health records, or clinical coding such as ICD ...

Hands-on supervised fine-tuning of embedding or reranking models with measurable production gains. * Experience with healthcare data (claims, electronic health records, or clinical coding such as ICD ...

You will lead research across the full model development lifecycle: domain data strategy, continued pre-training, supervised fine-tuning, post-training, evaluation methodology, and the strategic ...

Expert understanding of LLM transformer architectures and training procedure including pre-training, supervised fine tuning, and reinforcement learning. * Demonstrated experience training and fine ...

Work on pre-training and post-training of speech-language models, with targeted enhancements through supervised fine-tuning, reinforcement learning, and other techniques to ensure Grok Voice ...

Expert understanding of LLM transformer architectures and training procedure including pre-training, supervised fine tuning, and reinforcement learning. * Demonstrated experience training and fine ...

Researchers develop and evaluate techniques such as supervised fine-tuning, preference optimization (DPO, RLHF, RLAIF), and continual adaptation to align models with Distyl's enterprise systems. The ...

Expert understanding of LLM transformer architectures and training procedure including pre-training, supervised fine tuning, and reinforcement learning. * Demonstrated experience training and fine ...

... supervised fine-tuning. Company : River AI provides an API for fine-tuning and reinforcement learning, enabling users to build and serve personalized AI models. Founded in 2026, the company is ...