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1 день назад

Principal AI Research Engineer (Aerospace)

270 000 - 340 000$
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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TL;DR

Principal AI Research Engineer (AI/ML): Developing cutting-edge AI solutions for sustainable air mobility with an accent on novel ML/DL algorithms and their production integration. Focus on designing Transformer-based architectures, multi-modal foundation models, and bridging academic research with production-ready systems.

Location: San Jose, California, United States. Unable to provide work visa sponsorship.

Salary: $270,000 - $340,000

Company

Aerospace company building all-electric vertical takeoff and landing aircraft to advance sustainable air mobility.

What you will do

  • Design and implement novel machine learning and deep learning algorithms.
  • Iterate on full AI model lifecycles from data collection and architecture to deployment.
  • Prototype and validate complex solutions based on the latest academic literature.
  • Conduct experiments to benchmark new techniques and evaluate model behavior.
  • Develop scalable frameworks and tools to support reproducible research and development.
  • Transition research prototypes into production-ready systems and communicate findings to leadership.

Requirements

  • M.S. or PhD in Computer Science or Computer Engineering with a strong emphasis on AI and ML.
  • Strong proficiency with ML frameworks such as PyTorch or TensorFlow.
  • Deep understanding of Transformers, attention mechanisms, multi-modal foundation models, and diffusion policies.
  • Experience with model distillation, fine-tuning, and mixture of experts.
  • Strong ability to debug AI models and determine requirements for data, training, and evaluation.
  • Must be authorized to work in the US without sponsorship.

Nice to have

  • Experience with Reinforcement Learning, self-supervised training, or imitation learning.
  • Experience developing VLA (Vision Language Action) models for robotic manipulation and mobility.
  • Track record of publications at top-tier AI conferences.
  • Experience developing AI models for production environments.

Culture & Benefits

  • Pay-for-performance culture that rewards contributions to the Company's business strategy.
  • Dedicated to cultivating an equitable and inclusive environment.
  • Commitment to diversity and inclusivity in the workplace as an Equal Opportunity employer.

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