Machine Learning Engineer - Voice Conversion

October 17, 2026

Senior

Europe

Description

A social platform with an advanced AI character creator is hiring a Research / ML Engineer for its Speech Team. The role covers building speech systems end-to-end, from data specs through production inference, including voice conversion, controllable TTS and voice design. The engineer works at the intersection of cutting-edge research and practical engineering, driving the model-data-eval loop and shipping safe, steerable, trustworthy AI systems

Responsibilities

Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models
Design, run, and analyze scientific experiments to advance our understanding of the models
Develop and improve dev tooling to enhance team productivity
Contribute to the entire stack, from low-level optimizations to high-level model design
Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies
Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies
Harden the training to evaluation to inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback
Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology

Requirements

Exceptional research/development experience with large-scale audio models (>8B parameters, >500k hours of data)
Deep hands-on experience with diffusion and/or flow-matching transformers, including practical knowledge of samplers, schedules, conditioning mechanisms, and distillation
Deep hands-on experience training audio VAEs, neural audio codecs, and vocoders, including latent/tokenizer design, reconstruction and perceptual objectives, adversarial training
Strong experience with multi-node, multi-GPU distributed training (FSDP/DeepSpeed or equivalent)
Strong software engineering skills with a proven track record of building complex systems
Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production-quality code
Shipped large-scale speech/audio or multimodal generative models to production
Background in working with large-scale ML data, and the ability to iterate on data and triangulate quality using both subjective and objective signals
Experience with voice cloning, speech control/steerability, or expressive speech generation
Notable publications and/or open-source contributions in speech/audio/ML
Sees research and engineering as two sides of the same coin and enjoys owning work end-to-end
Results-oriented, flexible, and willing to pick up whatever moves the needle
Enjoys collaborating closely with infra, data, and product to ship measurable improvements
Enjoys designing experiments, listening tests, and metrics that correlate with user-perceived quality
Eager to learn every day, find and solve unique large-scale problems

Conditions

FullTime employment
Location: Europe
Competitive salary and generous company equity
Medical, dental, and vision insurance with 99.99% of premiums covered by the employer
42 days of paid time off, including 15 PTO days, 10 sick days, 15 company holidays, and 2 floating holidays
Generous parental leave and fertility support
401(k) retirement savings plan
Lifestyle spending account of $500/month
Complimentary lunch and snacks for in-office employees
One Medical membership