Назад
Company hidden
3 дня назад

Senior AI Research Engineer

195 000 - 204 750$
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

Текст:
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TL;DR
Senior AI Research Engineer (AI/Autonomy): Designing and evaluating machine learning and deep learning algorithms for autonomy, trajectory prediction, perception, and agent behavior with an accent on multimodal foundation models, diffusion policies, and scalable research systems. Focus on benchmarking models in dynamic or simulated environments, developing reproducible research frameworks, and transitioning prototypes into production-ready aerospace systems.

Location: San Jose, California, United States

Salary: $195,000–$204,750 per year

Company

Next-generation aerospace company building an advanced air mobility platform with air taxis, unmanned aircraft systems, aviation-related AI solutions, and other technologies for commercial aerospace and defense customers.

What you will do

  • Design, implement, and evaluate machine learning and deep learning algorithms for autonomy, trajectory prediction, and perception.
  • Develop predictive and decision-making models, covering training data, architecture, representations, evaluation, and deployment.
  • Prototype and validate solutions from academic research related to agent behavior and environmental understanding.
  • Run experiments in dynamic and simulated environments to benchmark techniques and evaluate model behavior.
  • Build scalable, reproducible tools and frameworks for research.
  • Communicate findings to leadership and help transition research prototypes into production-ready systems.

Requirements

  • Master’s degree in artificial intelligence, computer science, computer or electrical engineering, computational sciences, machine learning, robotics, informatics, or a related field.
  • Advanced skills with AI and machine learning frameworks such as PyTorch or TensorFlow.
  • Experience debugging AI models and determining requirements for data, training, and evaluation.
  • Understanding of Transformer architectures, attention mechanisms, multimodal foundation models, diffusion policies, fine-tuning, model distillation, and mixture-of-experts architectures.
  • Ability to work on autonomy, generative AI, perception, and trajectory prediction problems.

Culture & Benefits

  • Work on advanced air mobility, aerospace, defense, autonomy, and generative AI technologies.
  • Inclusive workplace focused on diversity, equity, and team member support.
  • Reasonable accommodations are available throughout the application and hiring process.
  • Certain positions may be eligible for visa sponsorship.

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