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2 дня назад

Senior/Staff Software Engineer (AI)

148 000 - 260 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior/Staff Software Engineer (AI/ML Pipelines): Building scalable ML data pipelines to train and evaluate an autonomous driving platform with an accent on distributed ETL, data sampling, and pipeline optimization. Focus on accelerating the launch of fully driverless vehicles by solving complex data challenges and optimizing deep learning training efficiency.

Location: Remote (US & Canada) or Hybrid (Toronto, San Francisco, Dallas, Pittsburgh)

Salary: $148,000 - $260,000 USD

Company

hirify.global is a technology startup and leader in Physical AI, developing commercial autonomous trucks and robotaxis.

What you will do

  • Design and implement data pipelines using real-world and simulated driving data to train and evaluate deep learning models.
  • Optimize data formats, caching, and dataloading to increase the efficiency of ML training and evaluation at scale.
  • Improve data sampling and composition for deep introspection to track model performance and uncover edge cases.
  • Maintain engineering excellence by writing high-quality, well-structured, and rigorously tested code.
  • Contribute to project roadmap planning, prioritization, and delivery.

Requirements

  • BS or MS in Computer Science, Machine Learning, or a related technical field.
  • 4+ years of industry experience.
  • Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Hands-on experience building distributed ETL and data processing pipelines.
  • Direct experience managing ML pipelines, including dataset management and optimization.
  • Must be based in the US or Canada.

Nice to have

  • Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Airflow, Beam, Dataflow, Step Functions).
  • Experience optimizing large-scale distributed training or ML inference pipelines.
  • Knowledge of linear algebra, 3D geometry, and data challenges specific to autonomous driving.
  • Experience working with multimodal sensor data (LiDAR, RADAR, camera).

Culture & Benefits

  • Competitive compensation, equity awards, and annual performance bonuses.
  • Comprehensive health benefits including Medical, Dental, and Vision coverage.
  • Unlimited Vacation and flexible hours with Work from Home support.
  • On-site perks: daily drinks, snacks, and catered meals.
  • Regular team building activities and social events (on-site, off-site, and virtual).

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