Frontend Engineer - USA

6 Days ago • 3 Years +

About the job

Summary_{By Outscal}

About LandingAI:

LandingAI, led by globally recognized AI leader Dr. Andrew Ng, is building cutting-edge vision products. We are at the forefront of creating domain-specific large vision models (LVMs) and the application of large multi-model models (LMMs) to practical vision tasks. Our Visual Prompting technology takes the ideas of text prompting and adapts them to vision – allowing vision models to be built not in hours, but in seconds. Moreover, our semantic vision layer enables businesses of all sizes to apply machine learning with minimal labeled data, turning images and videos into actionable insights. With our user-friendly tools, encapsulated in our LandingLens platform, we’re making visual AI accessible to developers worldwide.

About the Job:

As a Frontend Engineer at LandingAI, you will be responsible for developing and deploying scalable AI applications. By joining LandingAI, you will work with top-notch AI and Engineering teams to define and build powerful AI products, such as the LandingLens computer vision AI platform. With LandingAI, you will have the opportunity to deploy and scale AI services into different industries and work with us to unlock the economic impact behind AI adoption.

Here’s what you’ll do:

Design, develop, and deploy infrastructure and AI services. You will design, build, and scale the required infrastructure for Machine Learning services and data management with a focus on high availability, stable, low latency, scalability, and security. In this role, you will work closely with our Machine Learning Engineers and Technical Product Managers to understand the client and development requirements. You will be immersed in a highly dynamic and agile development environment.
Build and deliver high-quality AI products to clients’ hands. You will be responsible for building world-class web applications and services ensuring internal/external client satisfaction. This responsibility has two aspects: first, you will work closely with our Product Managers to understand and solve the clients’ real business and product needs; second, you will make sure both web computing products perform reliably with low latency.
Build internal tooling systems. Successful AI development is not only about the models used but also perfectly automatized pipelines. As a Software Development Engineer, you will boost our time-to-deployment by developing highly automated internal tools.
Take responsibility for the full software development cycle. You will take responsibility for architecting, developing, deploying, monitoring/maintaining services that are owned by your team. You must keep a high standard on coding, testing, automation of deployment, and monitoring. You must always be willing to get your hands dirty on troubleshooting issues.
Be part of a world-class A.I. team. At LandingAI you will be part of a fast-paced and learning-driven team. We are constantly striving to learn new things and develop ourselves. You will have the opportunity to learn many new skills and develop the existing ones. You are expected to help others to develop or improve their skills. You must be a team player and be open to give and receive constructive feedback.

Here’s the background we would like you to have:

Broad and solid CS foundation knowledge, including data structures & algorithms, OS, computer networks, databases, web development.
3+ years of experience in software development.
Proficiency with Javascript
Experience with building user interface with HTML, CSS and Javascript
Experience with frontend development and frameworks (such as next.js, react.js)
Comprehensive knowledge of web application systems end to end, comfortable with api design and have a good understanding of backend systems.
Experience with end-to-end product development, comfortable both with early stages of development and with delivering complex solutions to production.
Have flexible working hours

To succeed at LandingAI, you will have to fit well with our LandingAI Principles. Please take the time to read and understand them as they define who we are and what we look for in our candidates.

Although we are headquartered in Palo Alto, this is a hybrid role. The candidate should be based in the San Francisco Bay Area or willing to relocate, with the expectation to work from the Palo Alto office 2-3 days a week. The role will also require flexibility to collaborate with our international teams.