AI Research and Development Engineer

Faraday Future; Gardena (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

An innovative mobility company is seeking an exceptional AI Research and Development Engineer to join their foundation models team. This exciting role involves developing cutting-edge neural networks for autonomous driving systems, contributing to state-of-the-art production features. You will work alongside industry leaders, designing and optimizing AI algorithms while pushing the boundaries of research in a collaborative environment. Join a forward-thinking team dedicated to transforming mobility and making a global impact through technology.

Benefits

Healthcare benefits

Dental benefits

Vision benefits

401(k) options

Casual dress code

Relaxed work environment

Culturally diverse atmosphere

Qualifications

• 8+ years of experience in AI research and development for autonomous driving.
• Strong programming skills in Python and deep learning frameworks.

Responsibilities

• Develop and implement AI algorithms for autonomous driving tasks.
• Collaborate with teams to integrate models into driving systems.

Skills

Python Programming

Deep Learning

Machine Learning

Computer Vision

Model Optimization

Neural Networks

Education

Master's or Ph.D. in Computer Science

Master's or Ph.D. in Electrical Engineering

Tools

PyTorch

Distributed Training Systems

Job description

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

FF is seeking exceptional AI Research and Development Engineer to join our foundation models team focused on self-driving technology. In this role, you will collaborate with the brightest minds in the industry to develop state-of-the-art neural networks for autonomous driving systems. Your work will contribute to the development of production ADAS/AD features for a world-class vehicle platform.

Responsibilities

• Develop and implement AI algorithms, models, and data pipelines for end-to-end autonomous driving tasks. Key responsibilities:
• Design, train, and deploy large deep learning models that leverage vast amounts of labeled and unlabeled data from a fleet of vehicles.
• Develop novel state-of-the-art neural networks and push the boundaries of AI research and engineering for autonomous driving.
• Work on cutting-edge AI technologies, including large multimodal models, multi-task learning, and generative models.
• Optimize model efficiency for large-scale training and inference.
• Collaborate with cross-functional teams to integrate foundation models into autonomous driving systems.

Basic Qualifications:

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field.
• At least 8 years of experience in a similar role.
• Strong programming skills in Python and experience with deep learning frameworks such as PyTorch.
• Expertise in machine learning, deep learning, and computer vision.
• Experience with transformer architecture and model optimization techniques.
• Proven track record in developing and deploying large-scale machine learning models.

Preferred Qualifications:

• Publications at top AI conferences (e.g., CVPR, NeurIPS, ICML)
• Experience in the autonomous driving industry
• Familiarity with distributed training systems and high-performance computing

Annual Salary Range:

($130K - $170K DOE), plus benefits and incentive plans

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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