Inflection AI

Research Engineer, Voice

Palo Alto, California, United States

Sponsorship not specified$225k-$325kDetected 70 days ago

Machine LearningPyTorchElectrical EngineeringResearchCommunication

About the role

We're looking for a Member of Technical Staff (MTS), Research Engineer focused on voice and audio to help advance the spoken intelligence behind Pi.

Research, develop, and optimize neural models for voice and audio-including text-to-speech, automatic speech recognition, audio generation, and spoken dialogue systems.
Build and maintain production-grade training and inference pipelines for voice models, with close attention to latency, naturalness, and scalability.
Run experiments end-to-end: data curation, model architecture design, training, evaluation, and ablation studies.
Collaborate with ML engineers, product teams, and infrastructure to integrate voice models into Pi's real-time conversational stack.
Develop robust evaluation frameworks combining perceptual metrics, automated benchmarks, and user-facing quality signals.
Clear, collaborative communication able to distill complex research into actionable insights for cross-functional partners.
We are focused on building a positive, safe, inclusive and inspiring place to work.
Support of country-specific visa needs for international employees living in the Bay Area

2-5 years of research or engineering experience (including graduate work) in audio, speech, or multimodal ML.
Strong proficiency in PyTorch and hands-on experience training and debugging large-scale neural models on GPU/accelerator clusters.
Demonstrated ability to take a research idea from prototype to production: equally comfortable reading papers and writing efficient, CUDA-aware training loops.
Familiarity with modern generative architectures for audio (e.g., diffusion models, autoregressive codecs, flow-matching) and their trade-offs.
Have a bachelor's degree or equivalent in Computer Science, Electrical Engineering, Linguistics, or a related field; MS or PhD strongly preferred.

Have a bachelor's degree or equivalent in Computer Science, Electrical Engineering, Linguistics, or a related field
MS or PhD strongly preferred.

Contribute to Inflection's research culture through publications, internal reviews, and knowledge sharing.

For this role, Inflection AI estimates a starting annual base salary to fall within the range of $225,000 to $325,000, depending on a candidate's qualifications and level of experience.

Support of country-specific visa needs for international employees living in the Bay Area

This listing is sourced directly from Inflection AI's careers page and normalized into a canonical job model.