Senior Full-Stack Engineer, Machine Learning
LabelboxAbout Labelbox
Labelbox is pioneering the next generation of AI with its comprehensive platform designed to empower AI labs and enterprises. By providing high-quality training data and a unified software platform, Labelbox accelerates AI innovation, helping clients achieve remarkable advancements in AI applications.
Role Overview
As a Senior Full-Stack Engineer in the Machine Learning Engineering team, you will play a pivotal role in developing user interfaces and backend systems that support advanced AI technologies. This position involves crafting intuitive user interfaces for AI systems, including multi-modal generative AI and computer vision, and building robust, scalable backend solutions.
Key Responsibilities
- Develop user-friendly interfaces for model inference pipelines and model registry.
- Enable the development of powerful multi-modal AI models by creating interactive chat editors with multimedia support.
- Collaborate with engineers, product managers, and designers to bring features to life and maintain high-quality standards.
- Tackle complex technical challenges, ensuring the seamless integration of various data types like text, image, audio, and video.
- Participate in support rotations, ensuring system reliability and addressing customer queries effectively.
- Drive process improvements within the engineering team to enhance efficiency and productivity.
About You
- 5+ years of full-stack engineering experience with a focus on both frontend and backend development.
- Proficient in TypeScript, Node.js, GraphQL, and comfortable with Python, Kubernetes, and GCP.
- Experienced in frontend frameworks like React/Redux and Angular.
- Strong problem-solving skills and a commitment to delivering high-quality solutions.
- A self-starter who thrives in a dynamic, agile environment.
Nice to Have
- Experience with interfaces for generative AI use cases.
- Familiarity with NLP techniques.
Why Join Us?
- Be part of a team that is at the forefront of AI technology.
- Work in a supportive, collaborative environment that fosters innovation and creativity.
- Enjoy the flexibility of a remote-friendly hybrid work model, with opportunities for in-person collaboration in tech hubs.
Join Labelbox and contribute to building the future of AI alignment and innovation.
Benefits Extracted with AI
- Remote-friendly hybrid model
- High-quality training data
- Collaborative work environment
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