AI Researcher improving speech, conversation, and evaluation models for Arc’s real-time drive-thru voice AI. Turning research into production improvements for local businesses.
Responsibilities
Improve models that understand natural, real-world speech, user intent, and natural conversation while ringing orders in real time
Own speech accuracy as an ongoing research problem
Model data to test and train the system against rare or difficult-to-collect situations from live calls
Build benchmarking practices to determine whether changes improve the system
Evaluate models and approaches for conversation quality and the underlying audio pipeline while balancing accuracy and real-time constraints
Work with applied AI and backend teams to turn research findings into product improvements
Requirements
Strong applied ML/research background in industry or a research lab
Hands-on experience taking models from experiment to production
Experience with speech/audio ML
Solid Python skills
Comfort training ML models from scratch
Experience designing rigorous evaluation methodology, including statistically sound benchmarking, synthetic data generation, or dataset curation, for non-deterministic systems
Comfort operating with ambiguity and turning fuzzy quality problems into measurable research questions
Strong execution from research idea to production deployment
Benefits
Significant influence over the product and research culture at an early-stage company
Opportunity to work on a live, high-stakes real-time AI product
Opportunity to shape future products and research direction
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