Technical Lead Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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