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Research Engineer (Synthetic Data for Vision)

175 000 - 280 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US

Описание вакансии

Текст:
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TL;DR

Research Engineer (Synthetic Data for Vision): Build and maintain synthetic data pipelines and systems to accelerate vision model development with an accent on neural rendering, diffusion-based image synthesis, and domain adaptation. Focus on designing and optimizing data generation, evaluation frameworks, and integrating modern ML tools to improve computer vision tasks.

Location: San Francisco, United States

Salary: $175000–$280000

Company

hirify.global is a startup focused on creating lifelike computers with advanced vision and voice capabilities, founded by experts from Oculus, Meta, Google, and Apple.

What you will do

  • Build and maintain synthetic data generation pipelines using neural rendering, diffusion models, and procedural assets.
  • Apply transfer learning and domain adaptation to bridge gaps between synthetic and real data.
  • Integrate and fine-tune models to meet hardware constraints on latency, memory, and quality.
  • Develop end-to-end systems from data capture to deployment including calibration, rendering, and evaluation.
  • Define and iterate on dataset and model evaluation frameworks based on quantitative metrics.
  • Research and prototype new approaches in graphics, vision, and generative ML to advance synthetic data quality.

Requirements

  • Location: Must be able to work in San Francisco, United States
  • Experience with 3D reconstruction, photorealistic rendering, or synthetic data generation for vision.
  • Ability to work in high-ambiguity, open-ended problem spaces.
  • Familiarity with large-scale multi-camera datasets and data curation.
  • Excellent communication and collaboration skills.
  • Bachelor’s degree or higher in computer graphics, vision, imaging, machine learning, or related field.

Nice to have

  • Master’s or Ph.D. in relevant discipline.
  • Experience with neural rendering models like NeRF and modern generative models such as diffusion.
  • Proficiency in PyTorch, JAX, or other modern ML frameworks.

Culture & Benefits

  • 401k matching.
  • 100% employer-paid health, vision, and dental benefits.
  • Unlimited PTO and sick time.
  • Flexible spending account matching (medical FSA).