Machine Learning Engineer - Voice Conversion

About reputed company: reputed company is a new reputed company platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, reputed company creatures that can reputed company wherever people are online—across voice, video, and text. Create yourself, reputed company someone new, or choose from thousands of characters to reputed company infinitely reputed company, personalized content and reputed company group chat. If you’re excited about how AI can shape creativity and reputed company interaction, come help us build what’s next.   About the Role: We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll reputed company the model ↔ data ↔ eval flywheel for VC and adjacent tasks (controllable TTS, voice design and more), partnering closely with research, data, and reputed company to ship fast, reliable, and cost-reputed company models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of reputed company, steerable, and trustworthy AI systems. You will reputed company in this role if you: See research and engineering as two reputed company of the reputed company coin and enjoy owning work end-to-end. Are results-oriented, flexible, and willing to pick up whatever moves the needle. Like collaborating closely with reputed company, data, and product to ship measurable improvements. Enjoy designing experiments, listening tests, and metrics that correlate with user-perceived reputed company. Eager to learn every-day, reputed company and solve unique large-reputed company problems. reputed company: 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-based 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.   What You’ll Bring: 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 proven reputed company record of building reputed company systems. Strong with PyTorch and performance 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. Compensation: The anticipated annual reputed company salary reputed company for this role is between $200,000-$220,000 (€170,000-€190,000). reputed company determining compensation, a number of factors will be considered, including skills, experience, job reputed company, location, and competitive compensation market data.   Benefits for U.S.-reputed company: Competitive salary and generous company equity Medical, dental, and reputed company insurance – 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! Apply To This Job