Sr. Staff Machine Learning – Planning

Adapt Talent; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Santa Clara EV Tech Co is seeking a Sr. Staff Machine Learning, Planning to advance autonomous driving capabilities. The role involves developing deep learning-based planning and prediction algorithms, and designing real-time model architectures for onboard computing platforms.

The candidate will deploy planning software and collaborate with perception teams to optimize intelligent automotive systems. Strong Python experience and experience with PyTorch/TensorFlow are required.

Qualifications

• 5+ years of experience in deep learning (architecture design, training, data mining/analytics).
• Experience with PyTorch and TensorFlow.
• Strong Python skills.
• Knowledge of CNN/RNN/GNN.
• Experience using DL deployment and optimization tools.

Responsibilities

• Research and develop deep learning algorithms for planning and prediction.
• Design real-time model architectures for autonomous vehicle computing platforms.
• Deliver planning software and collaborate with perception teams for intelligent systems.
• Design, analyze, and run experiments to evaluate data efficiency.

Skills

Deep learning

Python

PyTorch

TensorFlow

CNN/RNN/GNN

Tools

DL deployment tools

Job description

Sr. Staff Machine Learning, Planning – Cutting Edge EV Tech Company – Santa Clara, CA

This EV company is currently one of China’s leading EV companies. They design, develop, and manufacture smart EVs that are integrated with Internet, AI, and autonomous driving technologies. Your work will be supported by massive data from autonomous fleet to deliver the best autonomous driving solutions.

Job Responsibilities:

• Research and develop algorithms for deep learning based methods on planning and prediction.
• Design model architectures that run in real-time on computing platforms on autonomous vehicles.
• Deliver planning software and work with the perception team to intelligent automotive systems.
• Design, analyze, and run experiments to evaluate efficiency of the data.

Requirements:

• 5+ years of experience working in deep learning. (model architecture design, model training, data mining, data analytics)
• Experience with deep learning frameworks such as PyTorch and TensorFlow.
• Strong Python skills.
• Knowledge in applying CNN/RNN/GNN.
• Experience of using DL model deployment and optimization tools.