AI Phone - Applied ML / Model Engineer (AI)

Location: United Kingdom; Workplace type: Hybrid

Company

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

What you will do

• Evaluate Qwen, Llama, Gemma, and other open-weight foundation models against phone use cases.
• Identify when existing models are sufficient and when adaptation or fine-tuning is required.
• 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.
• Construct synthetic datasets, evaluation datasets, and benchmarks for phone-specific workflows.
• Compare local and cloud inference approaches and collaborate with the Agent Runtime team on model 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 employment.
• Hybrid work arrangement in the United Kingdom.
• Work on proactive AI applications and devices designed for everyday workflows.