1 day ago
Base Salary
$154k - $217k/yr
Responsibilities
- Design and build agentic, human-in-the-loop, and expert-in-the-loop workflows and pipelines for scalable multimedia data production.
- Own large-scale data pipelines covering ingestion, filtering, pseudo-labeling, captioning, attribute classification, and audio-corpus provenance tracking.
- Build evaluation infrastructure including objective metrics, human listening tests, and correlation analysis between automated and human evaluations.
- Improve distributed training efficiency and reliability, GPU utilization, codec and tokenizer retraining, and experiment management.
- Implement and extend state-of-the-art research methods, conduct rigorous ablations, and translate research ideas into measurable systems.
- Build and train generative and representation models for speech, sound, and music, including text-, audio-, and video-conditioned generation, infilling, editing, and style transfer.
- Mentor engineers, contribute to hiring and onboarding, and establish quality and evaluation standards.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 6+ years of programming experience in a relevant language, or 3+ years of experience plus a PhD.
- At least 3 years of experience building ML systems in production or research settings.
- Strong Python and PyTorch skills.
- Demonstrated experience with speech, audio, or music machine learning, such as ASR, TTS, audio codecs, music information retrieval, self-supervised audio representation learning, or audio generative modeling.
- Experience with large-scale data pipelines and distributed training.
- Track record of translating research ideas into working, measurable systems.
- Preferred qualifications include publications at major venues, continuous-data generative modeling, audio DSP, controllable generation, human-evaluation pipelines, music expertise, multimedia data lineage, AI agents, multimodal-model evaluation or red-teaming, responsible AI, zero-to-one process building, workflow optimization with AI tools, and ongoing AI skill development.
Benefits
- Base salary of $154,003/year to $217,000/year, plus bonus, equity, and benefits.
Categories
Data EngineeringML Engineering
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.