Founding ML / AI Engineer —
Image Understanding


About Texterra

Texterra is building an AI-powered creative platform that interprets visual inspiration and translates it into structured, usable design systems.

We read the signals in your uploaded images and turn intuition into intent. Screenshots, moodboards, and visual worlds become signals of taste, hierarchy, composition, and structure — synthesized into composed systems that give creative direction real form.

Our core capability is Aesthetic Interpretation — the ability to read images as expressions of taste and translate them into usable creative frameworks.

Texterra sits at the intersection of design, technology, and human judgment. We’re early, design-led, and building something ambitious at the foundation of a new creative operating system.


The Role

We’re looking for a Founding ML / AI Engineer to own Texterra’s image intelligence from day one.

You’ll design the systems that translate visual inputs into structured creative signals. Your work will sit at the heart of the product, tightly integrated into real workflows — not bolted on.

This role directly shapes Texterra’s core IP.


What You’ll Be Building

  • Image embedding and representation pipelines tuned for creative interpretation
  • Feature extraction across color, composition, typography, mood, and pattern
  • Evaluation approaches that respect subjective quality and human taste
  • ML systems that integrate seamlessly into product workflows
  • Privacy-aware ML pipelines for user-submitted visual content

Technical Expertise

  • Strong background in ML and computer vision
  • Experience with embeddings and representation learning for images
  • Comfort shipping models into production and iterating with real users
  • Ability to collaborate across engineering and design without friction

Bonus

  • Experience with multimodal or generative models
  • Interest in design, art, or creative tools
  • Experience working where “quality” is nuanced, not binary

What Sets You Apart

  • You care about meaning, not just metrics
  • You’re energized by subjective, human-centered problems
  • You can move from research to product without getting stuck in theory
  • You want to help define a new layer in the creative stack

Stage Reality

This is an early-stage, equity-first role. Cash compensation is limited initially.

This role is best suited for someone who wants real ownership, proximity to decision-making, and meaningful long-term upside. Competitive compensation is planned once funding is secured.

  • Pre-fundraise
  • Equity-first compensation
  • Early experimentation and fast iteration
  • Deep ownership of core IP

Compensation

  • Founder-level equity (standard vesting)
  • Competitive salary expected post-fundraise
  • Long-term technical authorship and influence