Predictive ML Planning Intern (MS/PhD) – Hybrid

Waymo LLC

Mountain View (CA)

Hybrid

USD 96.000 - 117.000

Vollzeit

vor 44 Stunden
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Housing/relocation bonus
Medical, dental, and vision insurance
Intern events
Shuttle access

Zusammenfassung

Waymo LLC is seeking a highly motivated intern in Mountain View to research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning. You will develop ML-powered systems to enhance the Waymo Driver and accelerate scaling, translating real-world driving challenges into well-defined machine learning problems using cutting-edge techniques.

The role requires pursuing an MS or PhD in CS/ML/Robotics, hands-on DL library experience, and proficient Python/C++

Qualifikationen

  • Pursuing an MS or PhD in Computer Science, Machine Learning, Robotics, or a related technical field.
  • Hands-on experience with modern deep learning libraries (e.g., TensorFlow, JAX, PyTorch).
  • Proficient in programming (Python, C/C++).

Aufgaben

  • Research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning.
  • Develop ML-powered systems that enhance Waymo Driver capabilities and scale the business.
  • Translate real-world driving challenges into well-defined ML problems using cutting-edge techniques.

Kenntnisse

Deep learning libraries
Programming

Ausbildung

MS/PhD in CS, ML, robotics

Tools

TensorFlow
JAX
PyTorch
Python
C/C++

Jobbeschreibung

Waymo LLC is seeking a highly motivated intern in Mountain View to research, implement, and evaluate state-of-the-art generative models for autonomous vehicle planning. You will develop ML-powered systems to enhance the Waymo Driver and accelerate scaling, translating real-world driving challenges into well-defined machine learning problems using cutting-edge techniques.

The role requires pursuing an MS or PhD in CS/ML/Robotics, hands-on DL library experience, and proficient Python/C++

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