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Текст:
Hirify AI/Оригинал
TL;DR
Staff Machine Learning Engineer (Simulation Realism) (Deep Learning/Computer Vision): Improving the quality and accuracy of labeled multi-modal sensor data for realistic autonomous-driving simulation with an accent on perception data, sensor fusion, and scalable data-labeling pipelines. Focus on developing models that detect and correct data issues, investigating anomalies, and leading ML strategies for high-fidelity world representations.
Location: Mountain View, California, United States; on-site/hybrid role
Salary: $251,000–$310,000 USD annual base salary, plus eligibility for an annual bonus, equity incentive plan, and company benefits.
Company
Waymo develops autonomous driving technology and the Waymo Driver, an autonomous ride-hailing and vehicle platform system.
What you will do
Improve the quality and accuracy of labeled data derived from multi-modal sensors.
Develop ML models that identify and correct issues in perception-based simulation data.
Analyze data quality, investigate anomalies, and improve data-labeling pipelines.
Collaborate with perception and simulation teams to define data requirements and quality standards.
Lead solutions for complex data-quality challenges and define ML strategies for high-fidelity data generation.
Requirements
BS or MS in Computer Science or a related field.
5+ years of applied Deep Learning/Machine Learning experience for L5, or 7+ years for L6.
Strong background in computer vision, sensor fusion, or perception.
Proficiency in Python and common ML frameworks such as TensorFlow or PyTorch.
Experience with data analysis, quality assessment, strong coding, and system design.
Nice to have
PhD in Computer Science or a similar discipline.
Experience with autonomous vehicle sensor data.
Familiarity with data-labeling processes and challenges.
Experience taking ML models from research to production.
Culture & Benefits
Collaborative work with software engineers, ML engineers, and data scientists.
Work on realistic simulation systems for testing and training autonomous vehicles.
Eligibility for a discretionary annual bonus program and equity incentive plan.
Company benefits program subject to eligibility requirements.
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