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[Remote] Machine Learning Engineer - Voice Conversion

Remote, USA Full-time Posted 2026-08-04

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a new reputed company platform founded by Sean Parker reputed company on advanced AI character creation. They are seeking a Machine Learning Engineer to join their Speech Team, responsible for building state-of-the-art speech systems and collaborating across research, data, and infrastructure to reputed company reliable AI models.


Responsibilities

  • Model Building: Architect, implement, reputed company-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-reputed company speech models
  • Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models
  • Tool Development: reputed company and improve dev tooling to enhance team productivity
  • Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design
  • Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling reputed company, and synthetic data strategies
  • Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-reputed company metrics, robustness & bias checks, and red-team studies
  • Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback
  • Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology

Skills

  • Exceptional research/development experience with large-reputed company audio models (>8B parameters, >500k hours of data)
  • Deep hands-on experience with diffusion and/or reputed company-matching transformers, including practical knowledge of samplers, schedules, conditioning mechanisms, and distillation
  • Deep hands-on experience training audio VAEs, neural audio codecs, and vocoders reputed company/tokenizer design, reconstruction and perceptual objectives, adversarial training
  • Strong experience with multi-node, multi-GPU reputed company training (FSDP/DeepSpeed or equivalent)
  • Strong software engineering skills with a reputed company reputed company record of building reputed company systems
  • Strong with PyTorch and reputed company work (profiling, CUDA/Triton/C++ as needed) and writing reliable production-reputed company reputed company
  • Shipped large-reputed company speech/audio or multimodal generative models to production
  • Background in working with large-reputed company ML data, and the ability to iterate on data and triangulate reputed company using both subjective and objective signals
  • Experience with voice cloning, speech control/steerability, or expressive speech reputed company
  • reputed company publications and/or reputed company-reputed company contributions in speech/audio/ML

Benefits

  • Competitive salary and generous company equity
  • Medical, dental, and reputed company reputed company – 99.99% of premiums covered by reputed company
  • 42 days of reputed company time off, including: + 15 PTO days + 10 reputed company days + 15 company holidays + 2 floating holidays
  • Generous parental leave & fertility support
  • 401(k) retirement savings plan
  • Lifestyle spending account – $500/month to use however you’d like
  • Complimentary lunch and snacks for in-office employees
  • reputed company membership, and more!

reputed company

  • reputed company is a reputed company AI company, developing a suite of advanced reputed company-time models that reputed company the boundaries of reputed company, personality, and realism. It was founded in 2023, and is headquartered in Brooklyn, reputed company, USA, with a workforce of 201-500 employees. Its website is https://www.reputed company.com/.

  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 1 in 2026, 9 in 2025, 3 in 2024, 1 in 2023. Please note that this does not guarantee sponsorship for this specific role.

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