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3 дня назад

Member Of Technical Staff (Multimodal AI)

180 000 - 440 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Member Of Technical Staff (Multimodal AI): Developing superhuman multimodal intelligence across image, video, audio, and text modalities with an accent on large-scale pre-training and world modeling. Focus on designing distributed systems for petabyte-scale data processing, advancing cross-modal alignment, and building real-time interactive human-AI systems.

Location: Palo Alto, CA

Salary: $180,000 - $440,000 USD

Company

AI company dedicated to creating systems that accurately understand the universe and aid humanity in its pursuit of knowledge.

What you will do

  • Design and optimize large-scale distributed systems for multimodal pre-training, post-training, and inference at web scale.
  • Develop high-throughput pipelines for multimodal data acquisition, filtering, and management.
  • Advance capabilities in spatial-temporal compression, cross-modal alignment, and real-time video processing.
  • Drive data quality studies and curation pipelines to support trillion-parameter models.
  • Create evaluation frameworks, internal benchmarks, and reward models for multimodal reasoning.
  • Build research tooling, prototypes, and full-stack applications to enable rapid iteration.

Requirements

  • Hands-on experience with multimodal pre-training, post-training, or fine-tuning (vision, audio, video).
  • Expert-level proficiency in Python and strong experience with JAX, PyTorch, or XLA.
  • Proven track record in building large-scale distributed ML systems and optimizing GPU utilization.
  • Deep experience in designing scalable data pipelines for noisy, real-world multimodal data.
  • Strong fundamentals in evaluation design, reward modeling, or RL techniques.
  • Must be based in or able to work from Palo Alto, CA.

Nice to have

  • Proficiency in Rust and/or C++ for performance-critical components.
  • Experience with large-scale orchestration tools such as Spark, Ray, or Kubernetes.
  • Background in building full-stack tooling, performant interfaces, or real-time research demos.

Culture & Benefits

  • Flat organizational structure focusing on engineering excellence and direct contribution.
  • High-intensity environment rewarding initiative, curiosity, and strong work ethic.
  • Comprehensive medical, vision, and dental coverage.
  • Access to a 401(k) retirement plan and life insurance.
  • Total rewards package including equity.

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