Simulation CV/ML Engineer - Synthetic Data Pipelines

Metaintro, Inc.; Sunnyvale (CA); Presencial; USD 110.000 - 124.000; Jornada completa

Descripción de la vacante

Everforth Apex Systems in Sunnyvale, CA, seeks a Simulation CV/ML Engineer to generate synthetic datasets via camera and sensor simulations. You will deliver training and evaluation data to camera architects and ML teams, and support ML model training and evaluation using the synthetic data.

Qualifications include a BS in CS, 5+ years in software engineering with ML infra, strong Python and C++ skills, experience with PyTorch, Linux, and version control.

Formación

• Bachelor's degree in Computer Science or related field required.
• Minimum 5 years of software engineering experience with a focus on ML infrastructure.
• Strong Python and C++ proficiency; experience with ML training/evaluation workflows.

Responsabilidades

• Run and iterate on camera/sensor simulation pipelines to generate synthetic datasets on demand.
• Deliver training and evaluation data to camera architects and ML teams under tight timelines.
• Support ML algorithm training and evaluation using generated data, including running training jobs and producing metrics.
• Iterate on dataset composition based on model performance.
• Configure simulation scenes and sensor parameters to match specifications.
• Validate and quality-check generated data before hand-off.
• Maintain and improve simulation tooling and dataset generation scripts.

Conocimientos

Python

C++

ML infrastructure

PyTorch

Dataset generation

Linux

Camera simulation

Educación

Bachelor's degree in Computer Science

Herramientas

Blender

Unreal Engine

Unity

Descripción del empleo

Everforth Apex Systems in Sunnyvale, CA, seeks a Simulation CV/ML Engineer to generate synthetic datasets via camera and sensor simulations. You will deliver training and evaluation data to camera architects and ML teams, and support ML model training and evaluation using the synthetic data.

Qualifications include a BS in CS, 5+ years in software engineering with ML infra, strong Python and C++ skills, experience with PyTorch, Linux, and version control.