Embodied AI Data & Model Engineer

EngineersOfAI

Sunnyvale (CA)

On-site

USD 120,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Inclusive work environment
Innovative projects
Career development opportunities

Job summary

EngineersOfAI in Sunnyvale, California is looking for an Applied Scientist or Machine Learning Engineer to join their AI Platform organization. This dual-track role focuses on mining and enriching fleet data to improve foundation models for automated driving systems.

The ideal candidate will possess a solid machine learning background, experience in data curation, and strong skills in Python and model evaluation. You will contribute to building the best embodied AI solutions for driving while working with a diverse team dedicated to innovation and quality.

Qualifications

  • Experience in data processing and manipulation.
  • Strong theoretical foundation in machine learning.
  • Proven ability to work with high-dimensional data.

Responsibilities

  • Mine world-scale fleet data for rare and critical events.
  • Determine effective training datasets for model improvement.
  • Implement and maintain data enrichment pipelines.
  • Fine-tune pretrained models for optimal performance.
  • Design evaluation metrics that correlate with real-world performance.

Skills

Data curation
Data enrichment
Foundation model evaluation
Machine learning
Active learning
Reinforcement learning

Education

Master's or PhD in Computer Science or related field

Tools

Python
TensorFlow
PyTorch

Job description

EngineersOfAI in Sunnyvale, California is looking for an Applied Scientist or Machine Learning Engineer to join their AI Platform organization. This dual-track role focuses on mining and enriching fleet data to improve foundation models for automated driving systems.

The ideal candidate will possess a solid machine learning background, experience in data curation, and strong skills in Python and model evaluation. You will contribute to building the best embodied AI solutions for driving while working with a diverse team dedicated to innovation and quality.

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