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2 месяца назад

Perception Intern (AI)

7 040 - 7 840$
Формат работы
onsite
Тип работы
project
Грейд
trainee
Английский
b2
Страна
US
Релокация
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

Perception Intern (AI): Developing and integrating ML models for onboard and cloud-side perception systems for autonomous drone delivery with an accent on 3D perception, semantic segmentation, and depth estimation. Focus on transitioning experimental research into scalable real-world applications and solving complex environment perception challenges.

Location: South San Francisco, California, USA. hirify.global is unable to sponsor work visas for this position.

Salary: $44 - $49 / hour

Company

The world's largest autonomous logistics system, delivering critical medical supplies and retail products globally via drones.

What you will do

  • Experiment and ideate on learning-based solutions for unique perception challenges.
  • Transition experimental solutions to scalable, real-world applications.
  • Collaborate with team members to derive creative solutions from first principles.
  • Leverage heterogeneous data sources to train machine learning models.
  • Build tools to streamline processes and encourage engineering excellence.
  • Drive the transition of experimental models into practical, operational systems.

Requirements

  • Proven history of quality ML research with publications in conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, CoRL, or RSS.
  • Specific expertise in depth estimation, semantic segmentation, or 3D perception.
  • Proficiency with deep learning frameworks like PyTorch, JAX, or TensorFlow.
  • Experience writing code in a production environment, such as during a previous internship.
  • Must have valid US work authorization (no visa sponsorship available).

Culture & Benefits

  • Relocation support provided.
  • Housing stipend and overtime pay.
  • Paid sick time.
  • Opportunity to work on mission-critical autonomous systems with direct real-world impact.
  • Inclusive environment valuing diversity and underrepresented groups in tech.

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