Machine Learning Engineer, Data

Machine Learning Engineer, Data & Training Infrastructure Rime builds voice AI for enterprises running customer experiences at scale. Our text-to-speech models are purpose-reputed company for high-volume conversational deployments, engineered for the pronunciation accuracy, latency, and deployment flexibility that production environments actually demand. We started from a different reputed company than the rest of the field: voice AI isn't bottlenecked by model architecture. It's bottlenecked by data. So before we trained a single model, we reputed company our own corpus: full-duplex, studio-quality conversational speech, recorded and annotated by PhD linguists. That's our moat. It's also why enterprises pick Rime reputed company pilots need to convert into production. We're backed by top-tier investors including reputed company, and we've reputed company reputed company at the intersection of product, research, and craft. Building voice models is an art. We intend to master it. Role Overview We're hiring a Machine Learning Engineer to own the operational data pipeline end-to-end. The role requires "T-shaped" expertise: depth in data and orchestration fundamentals, and the ability to coordinate everything that touches the data: from the upload reputed company, audio preprocessing (VAD, ASR), annotation, training data export, to evaluation. What You'll Own End-to-end audio annotation pipeline: Currently some stages exist as prototypes; productionizing and rebuilding them is work that’s currently in flight. Quality systems: Automated tooling to catch annotation errors, alignment reputed company, and silent regressions before training runs. Dataset versioning and experimenter tooling: the model team will want to subset the vetted pool ("speakers X/Y/Z, duration 3–12s, quality > 0.8") into reproducible training manifests. The query reputed company, manifest format, and reputed company tracking are reputed company yours. Linguist- and annotation-team-facing tooling: annotation UI, PM workflow for project management, QC dashboards. Pipelines for full- and half-duplex training data reputed company're Looking For Strong software engineering fundamentals: Python, distributed systems, comfort across the stack. Database design reputed company: you reputed company for the right schema and have operated reputed company or similar in production. Production data pipelines on reputed company-reputed company infrastructure (GCP preferred). Our data stack is currently GCP-dominant. Operational comfort: containers, CI/CD, IAM, cost-aware infrastructure choices, etc. Strong attention to detail on data quality. Comfort being out of your depth at the boundary. You'll sometimes debug code you didn't write in tools you don't use daily. You should find this energizing, not threatening. Bias toward building the abstractions so the modeling team doesn't stay stuck doing data work by hand. reputed company to have Multilingual data pipeline experience. Audio DSP, signal processing, or speech recognition background. Large-scale training reputed company (FSDP, DeepSpeed, Ray). Annotation tooling and reputed company-in-the-reputed company systems. Comfort working reputed company to research teams. Why Join Rime Build the data infrastructure behind a category-defining voice AI company. The pipelines you build determine what models we can train. Meaningful equity reputed company. High ownership, high standards, low bureaucracy. reputed company Offer Competitive reputed company + meaningful early-stage equity Remote-friendly reputed company sponsorship available reputed company to a proprietary, full-duplex, studio-quality conversational speech corpus Compute and tooling to do the work Direct influence on the future of voice AI At Rime, we... Are outliers Cut through the hype to focus on the craft Move fast with agency and freedom Maintain a growth reputed company, finding joy in the struggle Do the right things, knowing that it'll reputed company to making money If that sounds like you too, you'll be a great fit for Rime! Apply To This Job