Высокоуровневая лидерская роль в мировом лидере беспилотного вождения с отличным компенсационным пакетом и передовым ML-стеком.
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Текст:
Hirify AI/Оригинал
TL;DR
Sr Staff Tech Lead, Machine Learning Engineer, Perception (Autonomous Driving): Building next-generation multimodal perception architectures and scalable spatial-temporal representations for autonomous driving with an accent on multi-task learning, sensor fusion, and production-scale model training. Focus on architecting sensor-agnostic systems, optimizing models for onboard hardware, leading cross-functional technical initiatives, and mentoring ML engineers.
Location: Mountain View, California or San Francisco, California; onsite and hybrid work arrangements are stated.
Salary: $298,000–$368,000 USD annual base salary, plus eligibility for an annual bonus, equity incentive plan, and company benefits.
Company
Waymo develops autonomous driving technology and operates a fully autonomous ride-hail service powered by the Waymo Driver.
What you will do
Set the long-term technical roadmap for next-generation multimodal perception architectures.
Advance multi-task learning, spatial-temporal modeling, and scene representation.
Architect unified and scalable representations across diverse sensor modalities and heterogeneous sensor suites.
Lead cross-functional initiatives with Perception, Planner, hardware, and infrastructure teams.
Optimize foundational architectures for onboard requirements and mentor machine learning engineers.
Requirements
Bachelor’s or master’s degree in Computer Science, Robotics, Machine Learning, or equivalent practical experience.
8+ years of industry experience in machine learning, AI, or computer vision.
Experience architecting and shipping large-scale, production-grade machine learning models.
Expert proficiency in Python, C++, and modern machine learning frameworks such as PyTorch, JAX, or TensorFlow.
Experience leading large technical initiatives across cross-functional teams as a Tech Lead.
Nice to have
PhD with publications at top-tier venues.
Industrial experience with multimodal foundation models, 3D perception, or end-to-end autonomous driving systems.
Experience designing modular, sensor-agnostic perception frameworks for diverse configurations.
Culture & Benefits
Access to large-scale real-world driving data and extensive simulation resources.
Collaboration with research teams at Alphabet.
Eligibility for a discretionary annual bonus program, equity incentive plan, and company benefits program.
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