Member of Technical Staff, Machine Learning
RunwayFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor's or Master's Degree in Computer Science, Data Science, Machine Learning, or Interactive Media/Computational Design, coupled with over 3 years of experience in tech-forward creative roles. Essential skills include hands-on expertise in building AI-powered tools, particularly with LLMs and image generation models, strong full-stack development capabilities in JS, Python, NodeJS, or React, and familiarity with creative software APIs such as Figma, Adobe Suite, or Canva. Experience in delivering MVPs under constraints and excellent communication skills for explaining technical concepts to non-technical stakeholders are also necessary. A deep curiosity for Generative AI, a passion for its creative applications, and a collaborative yet independent work ethic are crucial.
The Creative Technologist will lead the creative and technical execution of customer-facing AI tools, developing and integrating LLMs, text-to-image models (like SDXL, LoRA, Flux Kontext), or voice models. Responsibilities include delivering full-stack solutions using JS, Python, NodeJS, or React, designing experiments and MVPs for rapid iteration, and building integrations with tools like Figma, Adobe Suite, or Canva. The role involves partnering with Product Managers, Designers, and customers to align business and technical goals, as well as participating in workshops and knowledge-sharing sessions within the consulting team.
On-demand design services for businesses
Superside offers on-demand design services, including graphic design, illustration, motion design, and branding, specifically for medium to large enterprises. Clients subscribe to access a dedicated team of designers, which allows for predictable costs and flexibility based on their design needs. The company differentiates itself with a strong focus on reliability, maintaining a 99.99% uptime for its services. Superside's goal is to provide high-quality design solutions without the overhead of an in-house team.