Apply on company website Australia Remote (Country) Full-time

Phonely is hiring an Applied Machine Learning Researcher

Responsibilities

  • Investigate and enhance large language model performance in real-time spoken dialogue systems
  • Plan and execute fine-tuning trials across datasets, model configurations, and evaluation methodologies
  • Create evaluation systems to assess model accuracy, instruction adherence, conversational fluency, consistency, task success, and overall interaction quality
  • Examine live conversation logs to identify failure patterns and areas for model enhancement
  • Design methods for data selection, annotation, and synthetic data generation
  • Evaluate different model designs, training techniques, prompting strategies, and data sources
  • Diagnose performance regressions and provide clear explanations for changes in model behavior
  • Collaborate with engineering teams to implement research advancements in production safely and efficiently
  • Contribute to establishing criteria for model deployment, evaluation checkpoints, and quality standards
Job Details
Location Australia
Work mode Remote (Country)
Employment Full-time
Department Engineering
Category Data & ML
Posted a month ago
Application On company website
or drop your CV first
About company
Phonely logo

Phonely lets you build and optimize AI agents across voice, chat, SMS, and more, from one conversation to one million.

Answer every call perfectly with AI. Phonely is an omnichannel solution that enables businesses to deliver consistent customer experiences across phone, chat, SMS, and API.

The platform offers advanced features including agent builder, call history, A/B testing, and AI analytics, with prebuilt integrations to tools for real-time appointment booking, CRM updates, and more — all with zero human intervention.

Phonely supports 100+ languages, offers natural human-like conversations with 1,000+ voices, and is SOC 2, GDPR, CCPA, HIPAA, and PCI compliant, making it suitable for industries including healthcare, insurance, SMBs, and contact centers.

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