Applied ML & Model Engineer — Proactive AI for Phones

ActAI; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

ActAI is building proactive phone AI to bring intelligence into daily conversations and workflows. We evaluate foundation models, refine them with lightweight fine-tuning, and optimize for intent recognition and multi-step task execution.

The role involves exploring synthetic data, building evaluation datasets, and comparing local versus cloud inference, collaborating with the Agent Runtime team to improve agent workflows.

Qualifications

• Strong background in Machine Learning, Deep Learning, or NLP.
• Experience with open-weight language models and LLMs.
• Experience with model fine-tuning techniques (SFT, LoRA/QLoRA) and RL or preference optimization.

Responsibilities

• Evaluate existing foundation models against target phone use cases.
• Identify model capabilities and need for adaptation or fine-tuning.
• Experiment with SFT, LoRA/QLoRA and lightweight fine-tuning methods.
• Improve model performance for intent recognition, instruction following, tool calling, outputs, and multi-step tasks.

Skills

Machine Learning

Deep Learning

NLP

LLMs

Open-weight models

PyTorch

ML tooling

Experimentation

Tools

PyTorch

ML tooling

Job description

ActAI is building proactive phone AI to bring intelligence into daily conversations and workflows. We evaluate foundation models, refine them with lightweight fine-tuning, and optimize for intent recognition and multi-step task execution.

The role involves exploring synthetic data, building evaluation datasets, and comparing local versus cloud inference, collaborating with the Agent Runtime team to improve agent workflows.