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7 дней назад

Member of Technical Staff — ML Infra (Data)

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Member of Technical Staff — ML Infra (Data) (Spark/Ray/Dask, multimodal AI data): Building and operating petabyte-scale pipelines for ingesting, processing, filtering, and curating video, audio, and text training data with an accent on throughput, reliability, and data quality. Focus on productionizing research code, optimizing compute, I/O, and storage bottlenecks, and designing versioned, traceable datasets for foundation model training.

Location: In-person in Seattle, five days a week

Salary: $200,000–$300,000 base salary per year, plus meaningful equity.

Company

hirify.global is a research company building photorealistic, real-time AI avatars with emotional intelligence and full-duplex audiovisual interaction.

What you will do

  • Design, build, and operate large-scale pipelines for ingesting, processing, filtering, and curating multimodal video, audio, and text training data.
  • Productionize research-grade data processing code while preserving correctness and processing fidelity.
  • Optimize throughput and efficiency across compute, I/O, and storage, identifying and eliminating bottlenecks.
  • Build data quality systems for deduplication, filtering, validation, and quality scoring.
  • Manage petabyte-scale datasets, including storage architecture, versioning, lineage tracking, and cost efficiency.
  • Work with researchers to translate data requirements into scalable processing systems and efficient research tooling.

Requirements

  • Production experience building and operating large-scale data pipelines where naive approaches do not scale.
  • Strong proficiency with distributed data processing frameworks such as Spark, Ray, Dask, or similar.
  • Strong software engineering fundamentals, including clean, testable, and maintainable code.
  • Familiarity with ML data pipelines and the effect of data quality and format on model training.
  • Ability to turn research prototypes into production-ready pipelines in days rather than weeks.
  • Ability to work in person in Seattle five days per week.

Nice to have

  • Experience with multimodal data, including video and audio formats, codecs, FFmpeg, or decord.
  • Experience building pipelines for large-scale model pre-training or fine-tuning.
  • Familiarity with DVC, Delta Lake, Apache Iceberg, streaming pipelines, or online data processing.
  • Prior work at an AI lab, video platform, or other data-intensive company.
  • Contributions to open-source data tooling.

Culture & Benefits

  • Small research-focused team working on unsolved real-time AI problems.
  • Visa sponsorship is available from day one, including O-1, H-1B, and green card support.
  • AI-native tooling with unlimited tokens.
  • HSA plan with approximately $2,000 in annual company contributions.
  • 15 days of PTO, public holidays, and a full week of office closure at year-end.
  • Daily lunch, drinks, snacks, commuter benefits, and a 401(k) plan.

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