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

Key technologies and capabilities for this role

PythonPyTorchDeep LearningMachine LearningComputer VisionTransformersNeural NetworksData PipelinesMultimodal ModelsMulti-task LearningGenerative Models

Questions & Answers

Common questions about this position

What is the salary range for the AI Research and Development Engineer position?

The salary range is $130K - $170K DOE, plus benefits and incentive plans.

Is this role remote or hybrid, and where is it located?

The position is hybrid and based in California with Faraday Future.

What key skills and experience are required for this role?

Requirements include a Master’s or Ph.D. in Computer Science or related field, at least 8 years of experience, strong Python programming skills, experience with PyTorch, expertise in machine learning, deep learning, computer vision, transformer architecture, model optimization, and a proven track record in large-scale ML models.

What is the company culture like at Faraday Future?

Faraday Future offers a casual dress code, relaxed work environment, and a culturally diverse, progressive atmosphere.

What makes a strong candidate for this AI Research and Development Engineer role?

Strong candidates will have a Master’s or Ph.D., 8+ years of experience, Python and PyTorch proficiency, expertise in deep learning and computer vision, experience with transformers and large-scale models, plus preferred items like publications at top AI conferences, autonomous driving experience, and distributed training knowledge.

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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