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4 дня назад

Technical Lead Manager (AI)

238 000 - 302 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Technical Lead Manager (AI): Leading an applied machine learning team to build models for autonomous vehicle behavior understanding and evaluation with an accent on deep learning, Gen AI, and large-scale data systems. Focus on designing LLM/VLM solutions for anomaly detection, optimizing production ML pipelines, and driving technical strategy for autonomous driving safety metrics.

Location: Must be based in Mountain View, San Francisco, or New York City (Hybrid)

Salary: $238,000–$302,000 USD

Company

hirify.global is an autonomous driving technology company dedicated to building the world's most trusted driver to improve mobility and safety.

What you will do

  • Lead a high-performing applied ML team focused on AV behavior understanding using deep learning and Gen AI.
  • Design and implement Gen AI LLM/VLM solutions for behavior analysis and anomaly detection.
  • Oversee the production and optimization of ML models to assess fleet performance across millions of miles.
  • Collaborate with product and business teams to build tools for feedback analysis, sentiment assessment, and root cause analysis.
  • Drive technical direction and provide guidance to team members while aligning with company business objectives.
  • Work cross-functionally with Prediction, Planning, and Research teams to deliver strategic initiatives.

Requirements

  • Must be based in or able to work from Mountain View, San Francisco, or New York City.
  • B.S. in Computer Science, Robotics, Machine Learning, or equivalent experience.
  • 5+ years of experience leading engineering teams of 5-15 people.
  • 7+ years of hands-on experience building and deploying ML products in production environments.
  • Strong coding proficiency in C++ and/or Python.
  • Expertise in ML frameworks such as TensorFlow, PyTorch, or Hugging Face transformers.

Nice to have

  • M.S. or Ph.D. in Computer Science or a related quantitative field.
  • Deep learning experience with Transformers.
  • Experience with MLOps, evaluation techniques, and model performance optimization.
  • Large-scale data processing and analytical skills.

Culture & Benefits

  • Participation in discretionary annual bonus program and equity incentive plan.
  • Comprehensive company benefits program.
  • Opportunity to work on cutting-edge autonomous driving technology.
  • Collaborative environment with senior leadership and cross-functional teams.

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