Ready to own the data pipeline powering the voice of the next generation of AI characters?

You'll be joining a well-funded startup building AI character technology, where speech is a core part of the product experience.

Think super natural conversations, handling interruptions, personality shifts and more!

You'll own the datasets that power their speech systems — from raw, messy audio through to clean, versioned training corpora that directly drive TTS and ASR model performance.

Your focus

• Own the full data lifecycle — defining specs, auditing and curating large-scale audio and text corpora
• Build automated quality metrics and dashboards across SNR, VAD, WER, speaker verification and safety, validated against listening tests
• Train and deploy lightweight classifiers for noise detection, diarisation, language ID, and content moderation

What you'll bring

• Deep experience working with speech and audio data at scale — 1M+ hours
• Strong ML engineering skills in Python and PyTorch, including training and fine-tuning models like Whisper or Wav2Vec
• Practical knowledge of audio processing — torchaudio, librosa, spectrograms, DSP basics
• A solid understanding of audio quality metrics — MOS, WER, PESQ/STOI, SNR, speaker verification

Nice to have

• Experience with Spark/Beam, Airflow, SQL or similar data engineering tools
• Open-source contributions or publications in speech or audio ML
• Background in denoising and enhancement, and how it affects downstream model quality

Remote, with a preference for European or overlapping timezones. Competitive compensation and equity.

Looking to define ASR strategy for the next generation of social AI?

You'll be joining a well-funded social AI company building lifelike AI characters that interact naturally across voice, video, and text. Founded by a prominent tech entrepreneur, they're creating new media formats for AI-driven interaction where agents handle group conversations, interruptions, and multi-agent dynamics.

Your mission

You'll own the ASR function from day one - starting with evaluating and implementing existing solutions, then moving toward building proprietary models as the platform scales. This means hands-on work testing APIs and open-source models, followed by developing custom systems for multi-agent group conversations and social interactions.

You'll shape the technical direction, balance short-term delivery with long-term innovation, and drive individual research initiatives while collaborating on broader team objectives.

Your focus

• Define and execute the ASR roadmap from evaluation through production deployment
• Build and train models that handle natural conversation dynamics
• Develop evaluation systems to measure accuracy, speed, and reliability
• Define data requirements and create pipelines for ASR training
• Work from low-level performance optimizations to high-level architecture decisions

What you'll bring

• Proven track record building and deploying ASR systems at scale
• Strong familiarity with SOTA ASR models and architectures (Whisper, Conformer, etc.)
• Understanding of data quality assessment for speech systems

Nice to have

• Experience leading technical initiatives or ML teams

Remote with competitive comp + stock.

Ready to define the future of social AI interactions? Apply today.

Looking to tackle novel speech challenges at scale?

You'll be joining a small but mighty speech AI company building proprietary speech tech from the ground up. With a strong customer base, your research will directly impact production systems serving enterprise customers, with the opportunity to see your work deployed at scale in real-world voice applications.

They're a well-funded startup with healthy revenue streams and immediate opportunities for high-impact research.

Your research

You'll be working on breakthrough speech research that push the boundaries of naturalness and real-time performance. The company has achieved ultra-low latency and is now advancing toward unified speech-to-speech architectures.

You'll develop emotional expression and natural speech generation, advance multilingual support across 30+ languages, and enhance voice cloning robustness.

Your focus

• Lead cutting-edge research in SOTA speech models (TTS, ASR, or speech-to-speech)
• Design, execute and iterate on experiments end-to-end
• Drive speech controllability and naturalness improvements
• Develop evaluation methodologies for speech quality assessment

What you'll bring

• Deep understanding of cutting-edge speech models with end-to-end pipeline experience
• Experience with large-scale model training
• Strong background in speech model development and optimisation
• Published work with demonstrable results in industry or academic settings

Nice to have

• Performance optimisation experience for latency and compute efficiency
• Experience with model fusion and unified architectures

This is a remote role, either in US or Europe. Competitive comp based on experience.