Senior ML Engineer, Autonomy & Planning Systems

Waymo

San Francisco (CA)

Vor Ort

USD 213.000 - 263.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Equity incentive
Discretionary annual bonus
Company benefits

Zusammenfassung

Waymo is seeking a skilled ML Engineer to advance the Waymo Driver by building and deploying state‑of‑the‑art models on production vehicles. You will design architectures, pipelines, and evaluation systems using large‑scale data on Google's infrastructure.

The role emphasizes collaboration with researchers, product owners, and engineers to ensure safe, efficient planning for all road users. A strong CS/ML background and 4+ years in ML or AV systems are required.

Qualifikationen

  • Bachelor's degree or equivalent in a technical field (CS/ML/Robotics).
  • 4+ years of experience in ML modeling or autonomous systems.
  • Hands-on experience with modern DL libraries (TensorFlow, JAX, PyTorch).

Aufgaben

  • Tackle real‑world ML and engineering problems for Waymo Driver.
  • Design and build ML models and deploy them on production vehicles.
  • Architect pipelines, systems, and evaluation methods on large data infrastructure.
  • Collaborate with researchers and engineers to ensure safe, smooth planning.

Kenntnisse

Analytical thinking
ML modeling
Collaboration

Ausbildung

Bachelor's degree in CS/ML/Robotics or related field
MS or PhD in CS/ML/Robotics (preferred)

Tools

TensorFlow
JAX
PyTorch
Python
C/C++

Jobbeschreibung

Waymo is seeking a skilled ML Engineer to advance the Waymo Driver by building and deploying state‑of‑the‑art models on production vehicles. You will design architectures, pipelines, and evaluation systems using large‑scale data on Google's infrastructure.

The role emphasizes collaboration with researchers, product owners, and engineers to ensure safe, efficient planning for all road users. A strong CS/ML background and 4+ years in ML or AV systems are required.

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