Senior Full-Stack Engineer, Labelbox
AI Platform, Alignerr
$170-225k
2 days a week in office
Data training platform for ML applications
Open for applications
Data training platform for ML applications
101-200 employees
Open for applications
$170-225k
2 days a week in office
101-200 employees
Company mission
To build the best products for humans to advance artificial intelligence.
Role
Who you are
- If you're passionate about pushing technological boundaries and making a real-world impact, this is your opportunity to shine. Join us and help build the future of AI alignment!
- 4+ years of full-stack engineering expertise, with a passion for crafting exceptional user experiences on the frontend and building scalable and reliable systems, ensuring a seamless user journey
- Proficient in Typescript, Node.js, GraphQL. Comfortable with Python, Kubernetes, and GCP (MySQL, Spanner, GCS, PubSub). You've honed your skills in leveraging these technologies over 2+ years to architect robust and efficient solutions
- 2+ years of experience in frontend frameworks such as React/Redux, Angular. Adept at translating designs into responsive and interactive user interfaces
- You love to use AI tools to solve problems and be a highly productive engineer
- Strong ownership mentality, fearlessly pushing boundaries to elevate your team and Labelbox's offerings. Your commitment to customer satisfaction drives you to explore innovative solutions
- A self-starter who thrives in a dynamic and agile environment and takes the initiative to get things done. You excel at devising elegant and streamlined solutions for complex challenges
- Excel at writing high-quality code with a focus on test coverage and taking a disciplined approach towards timely delivery of commitments
What the job involves
- Join our team of passionate and world-class engineers to help empower our customers to harness the power of AI!
- As a member of the Alignerr engineering team, you'll be at the forefront of developing an internet-scale platform for hiring and onboarding highly skilled individuals in specialized domains from across the world, to train and tutor AI
- You will work closely with sister teams within Labelbox engineering to develop features and capabilities that these AI trainers will execute on within the Labelbox AI platform
- You'll use your full-stack expertise to collaborate with talented engineers and designers to build elegant, reusable components and construct robust, scalable systems, including integrations with LLMs and AI services
- You'll be a driving force behind our success, balancing groundbreaking innovation with practical implementation to meet the evolving needs of our customers
- Empower the future of AI alignment: Develop user-friendly interfaces enabling highly-skilled individuals in specialized fields tutor AI for developing powerful LLMs
- Leverage AI: Drive productivity and deliver commitments by using AI tools and LLMs
- Be a driving force in a high-impact team: Collaborate with engineers, product managers, and designers to bring features to life, squash bugs, while consistently keeping tech debt in check
- Crack the code: Tackle complex technical challenges that demand sharp problem-solving skills and a knack for navigating ambiguous territory
- Be a customer champion: Partner with our support team to address customer questions and provide elegant solutions to their challenges
- Own your code: Join our support rotation, ensuring our systems run smoothly around the clock
- Drive impactful change: Take the initiative to propose and implement process improvements, elevating the efficiency and impact of our engineering team
- Document your wisdom: Share your expertise by authoring and reviewing technical documents, guaranteeing the delivery of robust and well-defined solutions
Our take
Labelbox offers a web service and API helping companies better manage the process of annotating and labeling data used for machine learning (ML). This reduces costly and labor-intensive human data labeling, a major stumbling block for the increasing number of larger companies looking to deploy ML at scale.
Labelbox offers automated labeling as a means of boosting productivity, which puts it in direct competition with Scale AI, a company valued at over $7 billion. Founded in 2018, the relatively young Labelbox will have to find a compelling way of distinguishing itself, such as by addressing the ethical issues faced in data labeling, The company emphasizes that its product addresses the problem of bias by working as a sort of auditable record, and offers quality assurance systems to help identify it.
Labelbox has remained focused on streamlining its capabilities to raise its value in line with the rapidly growing market. The company's global expansion efforts have significantly widened its potential client base, the company has also collaborated with Google to make access to its platform easier.
Freddie
Company Specialist at Welcome to the Jungle
Insights
46% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jan 2022
$110m
SERIES D
Feb 2021
$40m
SERIES C
Total funding: $188.9m
Company benefits
- Flexible vacation policy (we don't count PTO Days)
- 401k Program
- College savings account
- HSA
- Daily lunches paid for by the company (especially convenient while working from home)
- Virtual wellness and guided meditation programs
- Dog-friendly office
- Regular company social events (happy hours, off-sites)
- Professional development benefits and resources
- Remote friendly (we hire in-office and remote employees)
Company values
- Make Customers Win - We find great pleasure in creating solutions for our customers. By working with us, our customers are at the forefront of industrial machine learning
- Craftsmanship - Craftsmanship is the fine balance between perfection and a solution to the given constraints. To be a craftsman is to be consumed in a problem and to create your best expression of work as a result
- Seek To Understand - The machine learning industry is growing and evolving rapidly as it begins to transform every industry. We must stay humble and embrace that we have so much more to learn. We seek to understand first so that we build the most impactful solutions
Company HQ
Mission District, San Francisco, CA
Articles
Leadership
Brian Rieger
(COO)Began as an Engineering Intern at Hudson Technologies. Co-founded Infinity Aerospace. Was an Aerodynamics Engineer at Boeing. Worked in Data Science for World Fuel Services.
Manu Sharma
(CEO)Masters in Astronautical Engineering from Stanford. Founder & CEO of Nuovo Wind. Founder & CEO of Ardulab/Infinity Aerospace. Worked at DroneDeploy for over 3 years, from Drone Engineer to Product Manager. Was a Product Manager at Planet.
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