Senior Frontend Engineer, Landing AI
United States
$165-185k
+ Equity
2-3 days a week in office (Palo Alto, CA)
AI for industrial quality inspection
Open for applications
AI for industrial quality inspection
21-100 employees
Open for applications
$165-185k
+ Equity
2-3 days a week in office (Palo Alto, CA)
21-100 employees
Company mission
Landing AI's mission is to provide cutting-edge software that enables reliable automated inspection in industrial automation and manufacturing.
Role
Who you are
- Broad and solid CS foundation knowledge, including data structures & algorithms, OS, computer networks, databases, web development
- 5+ 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)
- Experience with web server frameworks in Node.js (such as express.js, koa.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
- Flexible Work Hours: Comfortable working with a globally distributed team
Desirable
- Experience with modern database such as Postgres, ideally with popular Javascript ORM as well, (such as sequelize.js, prisma.js)
- Experience with computer vision, LLMs, LMMs
- Experience with developer-facing products
- Experience with Docker and Kubernetes
- Experience with AWS technologies such as S3, EKS
- Experience working with international teams
What the job involves
- As a Senior 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
- 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
- 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
Our take
Landing AI offers manufacturers a visual inspection system that identifies product defects across a range of industries including automotive, electronics and pharmaceuticals. Crucially, the company is focusing on training its AI with high quality data, as opposed to high volumes of data (which most industrial companies don’t have access to).
Though Landing AI was founded in 2017, it took until 2020 to release its flagship product, but it had already been generating plenty of excitement due to the reputation of founder Andrew Ng.
Ng is considered one of the AI ecosystem’s leading figures – a professor of Computer Science at Stanford, and serial tech entrepreneur who led Google’s Deep Learning project Google Brain back in 2012.
Thanks to the respect his name draws, as well as the massive growth potential of his company, Landing AI has had little trouble securing major capital investment as it looks to continue its scale up.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
Company
Funding (1 round)
Nov 2021
$57m
SERIES A
Total funding: $57m
Company benefits
- Health: Our people and their dependents (subject to country of employment) are covered by comprehensive medical, dental, and vision plans.
- Environment: We provide an allowance for you to set up a workstation however you want.
- Wellness: We offer a fitness stipend to be used on well-being and fitness programs.
- Lifelong learning: With an education stipend, you are encouraged to keep learning and growing.
- PTO: We provided generous paid time off so you can strive toward a balanced lifestyle.
- Retirement: We offer 401k matching plan to help you plan for your future!
- Events: We love having fun! We set up regular virtual and in person events to connect with each other
- Global Citizen: Our people reside in North America, Latin America, and Asia. Come and join our global network!
- Open to remote workers in the U.S within a 2 to 3 time zone difference to California (PDT / GMT -7)
Company values
- Focus on Customers – We start with the customer and work backwards to earn and preserve customer trust. While we pay attention to competitors and listen to our advisors, our sole focus is to make our customers successful.
- Have Grit – We exhibit firmness of character and indomitable spirit when faced with challenges. We consistently back ourselves and inspire our teams to power through the low moments.
- Move Fast – We believe in our work’s ability to change human lives. Because the cost of indecision can be more than the cost of a wrong decision, we emphasize high-speed decision making and execution while insisting on the highest standards.
- Earn Trust – We build an environment of trust. We hyperfocus on inclusiveness, honest and direct communication, ownership, and being vocally self-critical. We care and watch out for each other. We’re humble individually and proud together.
- Dive Deep – We dive deep to understand the problem, enforce accountability, and drive clarity. We are flexible in using our skills to do whatever it takes to achieve our goal and no task is beneath us.
- Stay Hungry – We are eager to solve challenging problems and acquire new skills. We understand that staying on the bleeding edge is hard work and we are committed to invest in our continual development.
Company HQ
Ventura, Palo Alto, CA
Articles
Leadership
Andrew Ng
(CEO)Adjunct Professor of Computer Science at Stanford University since 2002. Is also the Founder & CEO of deeplearning.ai, and Managing General Partner at startup studio AI Fund. Cofounded and is the Chairman of Coursera, and is also Chairman of Woebot Labs Inc. Founded and led the Google Brain (Deep Learning) project.
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