Senior Full-Stack Engineer, Labelbox

• Full-stack expertise with 2+ years of experience building seamless user experiences on the frontend and designing scalable, reliable backend systems
• Proficiency in modern technologies, including TypeScript, Node.js, and GraphQL, with experience in Python, Kubernetes, and Google Cloud (MySQL, Spanner, GCS, PubSub) to architect efficient and high-performing solutions
• Frontend development experience (2+ years) with frameworks like React/Redux or Angular, ensuring designs translate into responsive, interactive user interfaces
• A strong sense of ownership, continuously driving improvements in both the product and team dynamics while pushing for innovative solutions that enhance customer experience
• An agile mindset, thriving in fast-paced environments where you take initiative, adapt quickly, and devise elegant solutions to complex technical challenges
• A disciplined approach to software development, with a focus on writing high-quality, test-covered code and delivering on commitments efficiently
• Experience leveraging AI tools such as Cursor and GitHub Copilot to enhance development productivity
• Hands-on experience with LLM-backed AI services from providers like OpenAI, Anthropic, and Google, integrating them into product features to unlock new capabilities

• As a Senior Full-Stack Engineer on the Alignerr engineering team, you will play a key role in building and maintaining an internet-scale platform that facilitates the hiring and onboarding of specialized experts who train and tutor AI systems
• Your work will directly contribute to Labelbox’s AI platform by developing the features and capabilities that enable these AI trainers to provide high-quality human feedback
• Shape the future of AI alignment by building intuitive, scalable interfaces that enable experts in specialized fields to train AI and contribute to the development of powerful LLMs
• Enhance product capabilities by collaborating with engineers, product managers, and designers to deliver new features, resolve issues, and maintain a high-quality codebase while managing technical debt
• Solve complex engineering challenges by designing and implementing solutions that improve system performance, scalability, and adaptability in an evolving AI landscape
• Improve customer experience by working closely with the support team to diagnose and resolve issues, ensuring users have seamless interactions with our platform
• Ensure system reliability by participating in on-call rotations, proactively monitoring system health, and addressing potential disruptions before they impact users
• Drive engineering excellence by identifying and implementing process improvements that enhance team efficiency and accelerate product development
• Contribute to knowledge sharing by documenting technical decisions, writing clear and concise technical guides, and mentoring teammates to strengthen the team’s overall expertise
• Frontend: React.js with Redux, TypeScript
• Backend: Node.js, TypeScript, Python, some Java & Kotlin
• APIs: GraphQL
• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes
• Databases: MySQL, Spanner, PostgreSQL
• Queueing / Streaming: Kafka, PubSub

• 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)

Total funding: $188.9m

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.