Research Engineer, Voice

Inflection AI • Palo Alto, CA

2d • Onsite

About The Position

Inflection AI is seeking a Member of Technical Staff (MTS), Research Engineer focused on voice and audio to advance the spoken intelligence behind Pi. This role operates at the intersection of research and production, involving the development, training, and deployment of neural models across speech synthesis, recognition, audio generation, and real-time spoken dialogue. The engineer will collaborate with ML engineers, product teams, and infrastructure to translate cutting-edge research in areas like neural audio codecs, diffusion-based TTS, and multimodal foundation models into natural, expressive voice experiences for millions of Pi users.

Requirements

• 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.
• Solid understanding of audio and speech fundamentals spectrograms, mel features, vocoders, codec-based representations, and signal processing.
• 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.
• Clear, collaborative communication able to distill complex research into actionable insights for cross-functional partners.
• Have a bachelor’s degree or equivalent in Computer Science, Electrical Engineering, Linguistics, or a related field; MS or PhD strongly preferred.

Responsibilities

• 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.
• Explore and apply advances in neural audio codecs, diffusion-based synthesis, streaming architectures, and multimodal foundation models to improve Pi’s voice experience.
• Develop robust evaluation frameworks combining perceptual metrics, automated benchmarks, and user-facing quality signals.
• Contribute to Inflection’s research culture through publications, internal reviews, and knowledge sharing.

Benefits

• Diverse medical, dental and vision options
• 401k matching program
• Unlimited paid time off
• Parental leave and flexibility for all parents and caregivers
• Support of country-specific visa needs for international employees living in the Bay Area

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level