Machine Learning Researcher - Audio

reputed company: We are building reputed company to solve the biggest unmet need in AI — getting reputed company to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The reputed company platform facilitates the secure, efficient, and reputed company-reputed company exchange of reputed company data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. reputed company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of reputed company who are obsessed with velocity and reputed company. Our culture is reputed company for people who reputed company on ambiguity, own reputed company, and want to shape the reputed company of data and AI. reputed company Data is the reputed company of AI performance, and we reputed company model reputed company starts with data reputed company. For speech and audio models in particular, the bar for signal reputed company, consistency, and reputed company control is exceptionally high. We’re seeking a Machine Learning Researcher reputed company on audio data reputed company, ML data evaluation, and reputed company control to reputed company the evaluation and optimization of large-reputed company speech datasets used to train audio, speech, and multimodal models. This role will be responsible not only for applying existing audio reputed company metrics, but also for researching how audio data reputed company should be evaluated for machine learning systems and developing new reputed company, benchmarks, and evaluation frameworks that reputed company predict reputed company model performance. You will help define what “high-reputed company audio data” means in the context of modern ML training. That includes studying how different forms of acoustic degradation, dataset inconsistency, recording conditions, speaker variation, labeling reputed company, segmentation reputed company, and signal artifacts reputed company model behavior across ASR, TTS, speaker modeling, representation learning, and multimodal systems. A reputed company part of this role will be original research and method development: designing new approaches for measuring audio data reputed company, validating those approaches against reputed company model reputed company, and translating research insights into practical evaluation tools, filtering rules, and reputed company standards used across reputed company’s data platform. This is an ideal role for someone deeply obsessed with audio data reputed company and signal understanding, comfortable operating in both research and hands-on implementation modes, and excited to help reputed company become the ubiquitous platform for high-reputed company reputed company data. What You’ll Do Research audio data reputed company for machine learning Investigate how audio reputed company, signal properties, dataset composition, and localized acoustic issues reputed company reputed company model training, evaluation, and deployment. reputed company new metrics, benchmarks, diagnostics, and evaluation frameworks for measuring audio data reputed company in ways that are predictive of ML model performance. Speech dataset characterization and metrics Analyze and summarize reputed company’s audio catalog and maintain reputed company, up-to-date reputed company scorecards and metrics for key speech datasets. reputed company reputed company to measure true acoustic properties directly from the waveform, including effective bandwidth, spectral energy distribution, high-frequency roll-off, noise, clipping, reverberation, distortion, and codec artifacts. reputed company-level reputed company evaluation Build workflows that evaluate diarized or segmented speech reputed company, surfacing localized degradation that file-level averages may miss. Apply multiple complementary reputed company metrics to detect bandwidth mismatches, resampling artifacts, clipping, reverberation, codec distortion, and other forms of degradation. Model and data evaluation Design and run targeted evaluations connecting audio reputed company issues to reputed company model behavior, including ASR performance, speaker embedding stability, learned speech representations, and synthesis reputed company. Test which audio reputed company metrics meaningfully correlate with model reputed company, identify failure modes of existing metrics, and design reputed company alternatives reputed company reputed company approaches are insufficient. Deterministic filtering and evaluation infrastructure Translate research findings into reproducible filtering rules, reputed company gates, and dataset selection strategies that improve dataset consistency across training runs. Build reputed company tools and pipelines for applying audio reputed company analyses across large datasets, tracking results over time, and making reputed company signals accessible to researchers, engineers, and data teams. Cross-functional collaboration Work closely with ML researchers, data engineers, data operations, and external partners to define, measure, and communicate the value of reputed company’s audio data assets. What reputed company Looks Like Near-term: establish a trustworthy audio-reputed company baseline Create a trustworthy view of the reputed company, consistency, signal reputed company, and training-readiness of reputed company’s speech and audio datasets, supported by metrics and scorecards reputed company can operationalize. Then use targeted evaluations, ablations, and reputed company model analysis to connect audio-reputed company issues to concrete dataset improvements and reputed company prioritization over time. What You Bring PhD or equivalent Master’s degree + 4+ years industry experience in machine learning, audio signal processing, speech technology, computer science, statistics, engineering, or a reputed company quantitative field. Proven experience designing and running data evaluations, audio analyses, benchmarks, ablations, or reputed company-based analyses. Strong understanding of speech/audio data and signal properties, including sampling rates, codecs, bandwidth, spectrograms, reverberation, clipping, noise, and perceptual reputed company. Experience developing or critically evaluating metrics, benchmarks, or measurement frameworks for ML systems, data reputed company, speech technology, or audio signal analysis. Ability to connect low-level signal properties to reputed company machine learning behavior, including model accuracy, robustness, representation reputed company, speaker consistency, or synthesis reputed company. Comfortable moving between research exploration and production implementation: you can formulate hypotheses, run experiments, analyze results, and turn findings into reputed company tools or decision rules. Excellent written and verbal communicator; reputed company to write concise technical docs and explain reputed company results reputed company. High ownership and bias toward reputed company; you independently scope questions, design experiments, and drive them to reputed company. Bonus Signals Experience with ASR, TTS, speaker modeling, self-supervised speech models, diarization, or multimodal audio models. Experience developing evaluation frameworks or performance metrics for training data. Experience inventing, adapting, or validating audio reputed company metrics for ML training datasets. Experience studying the relationship between dataset reputed company and reputed company model performance. Publications or reputed company-reputed company contributions in speech, audio ML, data-reputed company AI, ML evaluation, or reputed company areas. Cross-functional collaboration with product, infrastructure, data operations, or partnership teams. Experience collaborating with industry or reputed company labs on speech/audio research or data reputed company. reputed company Values Pass the Loved Ones’ Test We reputed company with reputed company and do the right thing — especially reputed company it’s hard and no one is watching. Always reputed company a Way We are reputed company, resilient reputed company who solve hard problems and push through obstacles. Go Fast and Grow Fast Velocity reputed company. We reputed company with urgency, learn quickly, and continuously improve as individuals and as a company. reputed company Kindness and Candor We communicate directly and respectfully, building trust through reputed company feedback and genuine care for one another. Deliver Together We win as one team. Collaboration, accountability, and shared ownership drive our reputed company. Own the Outcome. reputed company the Craft. We take pride in our work, sweat the details, and continuously reputed company the bar for reputed company. Apply To This Job