Machine Learning Engineer, TTS

This is a fully remote position, open to applicants in Europe.

📋 Description

• Architect, implement, pre-train, fine-tune, and post-train/alignment of large-scale speech models.

• Take the initiative to lead small research projects while collaborating on larger team efforts.

• Design, execute, and analyze scientific experiments.

• Develop and enhance development tools.

• Contribute throughout the stack, from low-level optimizations to high-level model design.

• Define data needs and work on acquisition, curation, augmentation, labeling quality, and synthetic data strategies.

• Create automated objective and subjective evaluations, such as listening tests, SV/WER/ASR-based metrics, robustness and bias checks, and red-team studies.

• Strengthen the training-to-evaluation-to-inference pipeline; profile latency, memory, and cost; and adhere to production SLAs with monitoring and rollback.

• Collaborate with infrastructure on distributed training/inference in cloud environments and ensure reliable and observable production models.

• Contribute to the development of safety/consent guardrails and mitigation strategies for misuse/abuse in responsible speech technology.

⛳️ Requirements

• Extensive research and development experience with large-scale audio models (greater than 3B models and over 500k hours of data).

• Deep understanding and practical experience with transformer architectures and/or diffusion models, including distillation, streaming, and/or audio language modeling.

• Strong background in multi-node and multi-GPU distributed model training.

• Proven software engineering skills with a history of building complex systems.

• Proficient in PyTorch and performance optimization, including profiling, CUDA/Triton/C++, and writing reliable production-quality code.

• Experience in shipping large-scale speech/audio models to production.

• Background in handling large-scale ML data.

• Ability to iterate on data and assess quality using both subjective and objective signals.

• Notable publications and/or contributions to open-source projects in speech/audio/ML.

• Experience with voice cloning, speech control, and voice generation.

• Familiarity with audio language modeling and transformer architectures.

• No specific educational credentials are required.

🏝️ Benefits

• Competitive salary and generous company equity.

• Medical, dental, and vision insurance – with 99.99% of premiums covered by Cantina.

• 42 days of paid time off, which includes 15 PTO days, 10 sick days, 15 company holidays, and 2 floating holidays.

• Generous parental leave and fertility assistance.

• 401(k) retirement savings plan.

• Lifestyle spending account – $500/month for personal use.

• Complimentary lunch and snacks for in-office employees.

• One Medical membership.