AI Researcher at Arc — Remote, USA | Base Career

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Improve the models that let the agent understand natural, real-world speech, understand their intent and converse with them naturally while ringing their order in realtime
Own speech accuracy as an ongoing research problem
Data modeling to test and train the system against situations that are rare or hard to collect from live calls
Build benchmarking practices that give the team confidence a change actually helped, rather than just seeming better
Evaluate models and approaches for both conversation quality and the underlying audio pipeline, balancing accuracy against real-time constraints
Work with the applied AI and backend teams to turn research findings into real product improvements
Strong applied ML/research background (industry or research lab), with hands-on experience taking models from experiment to production, not just publication
Experience with speech/audio ML
Solid Python skills and comfort working with training ML models from scratch
Experience designing rigorous evaluation methodology — statistically sound benchmarking, synthetic data generation, or dataset curation — for non-deterministic systems.
Comfort operating with ambiguity — you can take a fuzzy quality problem ("the agent barges in too much") and turn it into a measurable research question
Strong execution from research idea to real production deployment

AI Researcher