AI Research and Development Engineer at Faraday Future

Gardena, California, United States

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$130,000 – $170,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, TechnologyIndustries

Requirements

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
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

Responsibilities

Develop and implement AI algorithms, models, and data pipelines for end-to-end autonomous driving tasks
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

Skills

Python

PyTorch

Deep Learning

Machine Learning

Computer Vision

Transformers

Neural Networks

Data Pipelines

Multimodal Models

Multi-task Learning

Generative Models

Faraday Future

Designs and manufactures electric vehicles and technologies

About Faraday Future

Faraday Future operates in the electric vehicle market, focusing on creating smart and sustainable transportation solutions. The company designs, manufactures, and sells electric vehicles while also providing related services and technologies. Their products include advanced electric vehicles that integrate smart technology, aiming to enhance the mobility experience for both individual consumers and businesses. Unlike many competitors, Faraday Future emphasizes a holistic approach to mobility, combining vehicle sales with future offerings in autonomous driving and connected car technologies. The goal of Faraday Future is to transform how people live and move by creating an integrated mobility ecosystem that improves the quality of life for its users.

Gardena, CaliforniaHeadquarters

2014Year Founded

$3,531MTotal Funding

IPOCompany Stage

Robotics & Automation, Automotive & TransportationIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Risks

Reliance on convertible notes may dilute shareholder equity, affecting stock value.

Stiff competition from established EV players could impact Faraday Future's market share.

Regulatory challenges in AI and autonomous driving may delay Faraday Future's technology rollout.

Differentiation

Faraday Future focuses on smart, sustainable transportation solutions with advanced AI integration.

The company targets both individual consumers and businesses with diverse mobility needs.

Faraday Future's FX strategy aims to offer affordable, high-performance AI electric vehicles.

Upsides

Increased consumer interest in luxury EVs boosts demand for models like Faraday Future's FF 91.

AI and machine learning integration in vehicles enhances Faraday Future's product offerings.

U.S. investment in EV infrastructure supports Faraday Future's market growth potential.

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