Currently tracking 20 active AI roles, up 72% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $158k–$374k (avg $261k).
Enterprise · Customer support
| Title | Stage | AI score |
|---|---|---|
| Principal Voice AI Engineer Principal Voice AI Engineer to lead and accelerate voice and conversational AI initiatives, focusing on Speech and Natural Language Processing (NLP). The role involves spearheading the development and deployment of AI/ML technologies for voice-enabled customer experiences, overseeing research in ASR, TTS, LLMs, and conversational systems, and transforming advanced AI models into production systems. | Post-trainServe | 8 |
| ML Scientist Intern ML Scientist Intern role focused on researching, developing, and deploying NLP/ML models for customer experience automation, including intent detection, auto-assist, chatbots, and agent routing. Collaborates with engineers and product managers to translate research into scalable solutions, working with large datasets and exploring techniques like RAG and fine-tuning. Involves rigorous experimentation, productionization, and staying updated with ML/NLP literature. |
| Post-trainAgent |
| 7 |
| Senior ML Scientist - AI Copilot This role is for a Senior ML Scientist focused on researching and building AI capabilities for customer experience, specifically intelligent triage and recommendations. The role involves collaborating with applied ML scientists and engineers, applying ML techniques like neural networks and information retrieval, and supporting the productionization of these models. It requires an MSc degree, strong Python and deep learning library skills, and a pragmatic, results-oriented approach. Knowledge of NLP, generative models, and information retrieval is preferred. | Post-trainAgent | 7 |