Product Engineer - Full Stack

We're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.About UsWe're the only company offering three integrated solutions for frontier AI development:Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scaleFrontier Data Labeling Service: Specialized data labeling through Aligner, leveraging subject matter experts for next-generation AI modelsExpert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scalingWhy Join UsHigh-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.Fresh grads are encouraged to apply!Role OverviewWe’re looking for aProduct Engineerto join ourPerceptionteam, where you’ll help build easy-to-use and efficient tools that support the development of cutting-edge AI systems like those for generative AI and computer vision. You'll work on both the frontend and backend, creating UI components and reliable systems that help our customers train better AI models.As a product-minded engineer, you'll work directly with stakeholders to bring ideas to life, build technical solutions from conception to production that drive business impact, and make sure our platform runs smoothly.You’ll innovate and push technological boundaries in order to meet the rapidly evolving needs of our customers, helping them create AI models that can work with multi-modal data.Your ImpactSupport AI developmentby building interactive and reliable tools that help train AI models using various types of data, including text, images, audio, and video.Build new featuresby working with a cross-functional team to create, test, and improve the tools our customers use every day.Solve technical challengesby thinking through complex and ambiguous problems and coming up with practical, effective solutions.Help customers succeedby assisting our support team in resolving issues and improving the overall user experience.Keep systems running smoothlyby participating in on-call rotations to monitor and fix any issues that arise.Make the team betterby suggesting and implementing ways to improve how we work and build software.Share your knowledgeby writing and reviewing technical documentation to help the team and future developers.What You Bring2+ years of experienceas a full-stack engineer, working on both frontend user interfaces and backend systems.Strong skills inTypeScript, Node.js, and GraphQL, and familiarity withPython, Kubernetes, and Google Cloudtools like MySQL, Spanner, GCS, and PubSub.2+ years of experienceusing frontend frameworks likeReact/Redux, and the ability to turn designs into interactive, responsive web pages.Aproactive attitude, taking ownership of your work and looking for ways to make the product and team better.Comfort working in afast-paced, agile environment, where priorities can shift, and quick problem-solving is key.A focus onwriting clean, well-tested code, and delivering your work on time.Bonus PointsExperience building tools forAI applications, like evaluating large language models or monitoring AI performance.Knowledge ofnatural language processing (NLP)techniques. #J-18808-Ljbffr