Supervised Fine Tuning Jobs (NOW HIRING)

Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine-tuning and other post-training techniques. * Build scalable data preparation, curation, filtering, and ...

Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine-tuning and other post-training techniques. * Build scalable data preparation, curation, filtering, and ...

... 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 • Build the data flywheel ...

... and supervised fine-tuning, preference optimization, or knowledge distillation for quality Ability to work through ambiguity, collaborate across teams and disciplines, and communicate complex ...

At least 2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas -- Supervised Fine-tuning (SFT) with Rejection Sampling ...

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 ...

Train and fine-tune LLMs using supervised fine-tuning (SFT). * Work with open-source models such as LLaMA, Mistral, Qwen, and similar architectures. * Build LoRA / Q-LoRA pipelines for efficient fine ...

Run supervised fine-tuning, preference alignment, and reinforcement learning workflows for vision-language models. * Design task-specific evaluations for visual understanding, grounding, OCR ...

Strong knowledge of LLMs (BERT, GPT, etc.), embeddings, and supervised fine-tuning. * Experience with Reinforcement Learning, RAG (Retrieval-Augmented Generation), and Agentic AI. * Familiarity with ...

Run supervised fine-tuning (PEFT/LoRA/QLoRA), optimize prompts, and manage experiment tracking/evaluation. * Agentic Systems: Build agent workflows with tool use, memory, and safety/guardrails.

Train and fine-tune LLMs using supervised fine-tuning (SFT). * Work with open-source models such as LLaMA, Mistral, Qwen, and similar architectures. * Build LoRA / Q-LoRA pipelines for efficient fine ...

Develop infrastructure for supervised fine-tuning, preference optimization, reward modeling, and reinforcement learning * Create systems for collecting, filtering, replaying, and learning from agent ...

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 ...

At least 2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas - Supervised Fine-tuning (SFT) with Rejection Sampling, Preference ...

Supervised Fine-tuning (SFT) with Rejection Sampling * Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.) * Parameter efficient fine-tuning techniques (e.g LoRA)

At least 2 years of experience in various state-of-the-art techniques related to LLM fine-tuning in 1 or more of the following areas -- Supervised Fine-tuning (SFT) with Rejection Sampling ...

Supervised Fine-tuning (SFT) with Rejection Sampling Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.) Parameter efficient fine-tuning techniques (e.g LoRA ...

Supervised Fine-tuning (SFT) with Rejection Sampling * Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.) * Parameter efficient fine-tuning techniques (e.g LoRA)

Supervised Fine-tuning (SFT) with Rejection Sampling Preference-based fine-tuning techniques (e.g RLHF, Reward model, DPO, PPO, GRPO etc.) Parameter efficient fine-tuning techniques (e.g LoRA ...

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 ...