Sr. Staff Machine Learning – Planning

well-funded deeptech startup; California (MO); On-site; USD 130,000 - 160,000; Full time

Job summary

A well-funded deeptech startup located in California is seeking a Sr. Staff Machine Learning expert. You will conduct research and development for deep learning algorithms aimed at enhancing planning and prediction in smart EVs.

The position requires over 5 years of experience in deep learning, strong Python skills, and proficiency with frameworks like PyTorch and TensorFlow. You will work on real-time model architectures and contribute to intelligent automotive systems.

Qualifications

• 5+ years of experience in deep learning, with a focus on model architecture design and training.
• Strong programming skills in Python.
• Experience with deploying and optimizing deep learning models.

Responsibilities

• Research and develop algorithms for deep learning methods on planning and prediction.
• Design model architectures for real-time computing on autonomous vehicles.
• Collaborate with the perception team to deliver intelligent automotive systems.

Skills

Deep learning

Model architecture design

Data mining

Data analytics

Python

Tools

PyTorch

TensorFlow

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.