Frontend Engineer at Lightning AI

London, England, United Kingdom

Lightning AI Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Software DevelopmentIndustries

Skills

Key technologies and capabilities for this role

Frontend DevelopmentUI DevelopmentFrontend InfrastructureJavaScriptHTMLCSSCollaborationProblem-solving

Questions & Answers

Common questions about this position

What is the work arrangement or location for this role?

This is a hybrid position requiring 2 days per week in the London office.

What is the salary for this Frontend Engineer position?

This information is not specified in the job description.

What technical skills are required for this role?

The role requires writing readable/testable/efficient code in React and Redux, mastering the technology stack, and experience with technical architecture, tools, processes, and software quality practices.

What are the company's core values?

The company's values are Move Fast, Focus, Balance, Craftsmanship, and Minimal, emphasizing speed, precision, work-life balance, excellence, and simplicity.

What makes a strong candidate for this Frontend Engineer role?

A strong candidate can take ownership of key features, drive development end-to-end, collaborate with engineers, product managers, and designers, mentor others, and thrive in a team-focused environment with high uncertainty.

Lightning AI

AI development platform for coding and deployment

About Lightning AI

Lightning AI provides a platform for developing artificial intelligence applications, supporting users throughout the entire AI lifecycle from initial ideas to final deployment. The platform is accessible via web browsers, allowing developers and data scientists to easily code, prototype, and train AI models using GPUs without needing extensive setup. It operates on a subscription model, offering a cloud-based AI Studio that functions like a virtual laptop with persistent storage and environments. This setup enables users to code on CPUs, debug on GPUs, and scale their projects across multiple nodes. Key features of the platform include tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics, which help in optimizing and scaling AI models. Lightning AI aims to provide a user-friendly and comprehensive solution for both enterprises and individual developers looking to enhance their AI development capabilities.

New York City, New YorkHeadquarters
2015Year Founded
$105.6MTotal Funding
LATE_VCCompany Stage
AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Flexible Paid Time Off
Paid Family Leave
Phone/Internet Stipend
Home Office Stipend
Professional Development Budget
Gym Membership
Mental Health Support
Stock Options

Risks

Open-source models like Dolly and Alpaca challenge Lightning AI's proprietary offerings.
Rapid AI development may outpace Lightning AI's innovation capabilities.
Dependence on AWS could affect cost structure if service terms change.

Differentiation

Lightning AI offers a comprehensive AI lifecycle platform from ideation to deployment.
The platform's integration with AWS Marketplace simplifies enterprise procurement processes.
PyTorch Lightning's popularity supports Lightning AI's open-source framework approach.

Upsides

Recent $50M funding round indicates strong market confidence in Lightning AI.
Thunder compiler speeds up AI model training, reducing costs significantly.
Collaboration with AWS enhances AI model performance using cutting-edge hardware.

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