AI Phone - Applied ML / Model Engineer

Location: China; remote

Company

hirify.global is building proactive AI-native applications and devices that bring intelligence into everyday conversations, coordination, and workflows.

What you will do

• Evaluate foundation models such as Qwen, Llama, Gemma, and other suitable open-weight models against phone use cases.
• Identify model capabilities that can be used directly and areas requiring adaptation or fine-tuning.
• Experiment with SFT, LoRA/QLoRA, and other lightweight fine-tuning techniques.
• Improve intent recognition, instruction following, tool calling, structured outputs, and multi-step task execution.
• Generate synthetic data, construct phone-specific datasets, and build evaluation benchmarks for quality, reliability, and task completion.
• Compare local and cloud inference approaches and collaborate with the Agent Runtime team to improve performance in agent workflows.

Requirements

• Strong background in machine learning, deep learning, or NLP.
• Practical experience with LLMs and open-weight models.
• Experience with model fine-tuning, including SFT and LoRA/QLoRA; RL or preference optimization is preferred.
• Experience with PyTorch and common ML tooling.
• Understanding of LLM evaluation, benchmarking, and dataset preparation.
• Ability to run experiments, analyze model failures, and translate findings into measurable improvements.

Nice to have

• Experience with agentic systems, function calling, and tool-use training.
• Experience with synthetic data generation and preference datasets.
• Experience with model distillation and smaller language models.
• Experience deploying models in production environments.

Culture & Benefits

• Full-time remote position based in China.
• Work on AI-native phone applications and devices designed for proactive daily assistance.