Education Requirements:

• Bachelor's degree or higher in Computer Science, or equivalent practical experience

Other Requirements:

• Work experience with UI/UX design, web frontend development

• Work experience with JavaScript, TypeScript

• Experience in frontend development using frameworks (e.g., React, Angular, etc.)

• Experience with unit tests and E2E tests

• Experience in complex asynchronous processing

• Experience with issues and bug tracking systems (e.g., Jira, GitHub, etc.)

• Experience with complex charts and displaying methods including statistics

• Development experience using visualization related frameworks

• Experience in cross-browser support

• Experience in B2B product development

• Experience in MLOps related product development

• Experience in large-scale backend engineering development

• Experience in developing services utilizing various cloud services

• Experience in developing frameworks and services related to Auth, Billing, Monitoring

• Experience in CI / CD

• Experience in startup experience or competence

Responsibilities:

• Developing and deploying MLOps web frontend and backend

• Working closely with AI experts and software engineers to design and implement web-based MLOps tools to support the development, deployment, and monitoring of machine learning models

• Developing user-friendly web interfaces

• Integrating with backend APIs and services

• Ensuring the robustness and scalability of our web platform

Education Requirements:

• BS (or higher) in Computer Science or a related field

Experience Requirements:

• 5+ years of experience in production or in high-impact research environments

Other Requirements:

• Production-level experience in Python and C++

• Experience developing machine learning frameworks

• Experience developing GPU kernels

• Experience working with generative AI models such as large language models and diffusion models

• Experience developing machine learning compilers

Responsibilities:

• Developing and optimizing an advanced engine for serving generative AI models, including large language models and diffusion models

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives

Benefits:

• Health insurance

• Full-coverage medical check-ups

• Continuous learning opportunities

• Targeted training programs

• Career development initiatives