Inflection AI

4 weeks ago

Principal Research & Engineering, Realtime Voice AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead the technical roadmap and implementation of Inflection’s realtime Voice AI stack, including streaming ASR, TTS, speech-to-speech, and speech LLMs. Own evaluation systems for voice quality and production-ready robustness, mentor a cross-disciplinary team, and drive build-vs-buy-vs-train decisions to deliver emotionally intelligent, trustworthy voice interactions in enterprise workflows.

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Establish and own the technical roadmap for Inflection's realtime Voice AI stack, covering streaming ASR, TTS, speech-to-speech, speech LLMs, turn-taking, barge-in, latency, and reliability.
•Leverage a 1,000 GPU cluster to drive performance benchmarking and extensive experimentation.
•Determine build-vs-buy-vs-train strategies for core audio, speech, and realtime interaction components.
•Direct research and engineering efforts to improve speech quality, naturalness, expressiveness, emotional fit, controllability, and production readiness.
•Collaborate with infrastructure, product, design, and agentic AI teams to deploy voice agents for enterprise workflows.

Pay and Benefits

Salary: USD 400,000 - 550,000 annually

Equity and Bonus:Equity

Perks:401k MatchingPaid LeaveParternal Leave

Key Requirements

•Experience leading or serving as a principal Research and Engineering contributor to realtime voice, speech, audio AI, or conversational AI systems in production.
•Experience with streaming ASR, TTS, speech-to-speech systems, speech LLMs, audio tokenization, multimodal models, barge-in, low-latency inference, or realtime agents.
•Strong technical judgment across both speech modeling and production systems.
•Ability to define voice quality in terms of user and customer outcomes, not only offline model metrics.
•Experience designing or using evaluation systems that capture real user experience.

Experience:Conversational AIVoice AIResearch & engineering

Education:Bachelor's

Skills:LeadershipMentorshipCollaborationCommunicationProblem-solving

Languages:English

Tech Stack:ASRTTSSpeech LLMsAudio tokenizationLow-latency inferenceStreamingGPU

Company Brief

Inflection AI

Develops conversational AI and personal-assistant technologies, including the Pi chatbot, to enable more natural human–computer interaction and simplify access to information and productivity tools.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: Palo Alto, United States

Founded: 2022

Website LinkedIn

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Inflection AI

4 weeks ago

Principal Research & Engineering, Realtime Voice AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Palo Alto

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Establish and own the technical roadmap for Inflection's realtime Voice AI stack, covering streaming ASR, TTS, speech-to-speech, speech LLMs, turn-taking, barge-in, latency, and reliability.
•Leverage a 1,000 GPU cluster to drive performance benchmarking and extensive experimentation.
•Determine build-vs-buy-vs-train strategies for core audio, speech, and realtime interaction components.
•Direct research and engineering efforts to improve speech quality, naturalness, expressiveness, emotional fit, controllability, and production readiness.
•Collaborate with infrastructure, product, design, and agentic AI teams to deploy voice agents for enterprise workflows.

Pay and Benefits

Salary: USD 400,000 - 550,000 annually

Equity and Bonus:Equity

Perks:401k MatchingPaid LeaveParternal Leave

Key Requirements

•Experience leading or serving as a principal Research and Engineering contributor to realtime voice, speech, audio AI, or conversational AI systems in production.
•Experience with streaming ASR, TTS, speech-to-speech systems, speech LLMs, audio tokenization, multimodal models, barge-in, low-latency inference, or realtime agents.
•Strong technical judgment across both speech modeling and production systems.
•Ability to define voice quality in terms of user and customer outcomes, not only offline model metrics.
•Experience designing or using evaluation systems that capture real user experience.

Experience:Conversational AIVoice AIResearch & engineering

Education:Bachelor's

Skills:LeadershipMentorshipCollaborationCommunicationProblem-solving

Languages:English

Tech Stack:ASRTTSSpeech LLMsAudio tokenizationLow-latency inferenceStreamingGPU

Company Brief

Inflection AI

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Early Stage Startup

Headquarters: Palo Alto, United States

Founded: 2022

Website LinkedIn