orthoeye.digital

We are building a digital orthodontics platform with interactive browser-based 3D tools.

This role is primarily focused on backend 3D geometry and mesh processing with modern C++, with backend and cloud integration as a secondary responsibility. You will build tools for processing complex 3D meshes and integrate them with services used by our web application.
 

     You Are

• Strong in modern C++17 or later.
• Have commercial experience with computational geometry, mesh processing, CAD, medical 3D, 3D printing, or similar systems.
• Understand triangle meshes, topology, normals, boundaries, non-manifold geometry, and numerical tolerances.
• Have worked with mesh operations such as repair, remeshing, simplification, cutting, Boolean operations, offsets, or registration.
• Have practical experience with at least one geometry-processing library or SDK.
• Comfortable with linear algebra and spatial data structures such as BVH or k-d trees.
• Experienced with CMake, Linux, Docker, profiling, and native dependency management.
• Able to write tests for geometry code using fixtures, invariants, and tolerance checks.
• Comfortable integrating native C++ code with backend services through a CLI, library, binding, or containerized worker.
• Familiar with Git workflows, pull requests, and code review.

     Will Be a Plus

• Experience with Node.js, TypeScript, or Python.
• Experience with C++ bindings such as pybind11 or nanobind.
• Familiarity with Three.js, WebGL, or browser-based 3D viewers.
• Experience with AWS or another cloud platform.
• Experience with asynchronous processing and object storage.
• Background in medtech, healthcare, scientific visualization, or 3D printing.
• Familiarity with AI-assisted development tools such as Cursor, Claude Code, or Codex.

     
     What We Expect from You

• Own geometry features from implementation to production integration.
• Make practical engineering decisions without unnecessary overengineering.
• Define clear quality checks and tolerances for geometry operations.
• Proactively identify performance, memory, and geometry-quality issues.
• Be comfortable working in an evolving product with changing priorities.
• Collaborate effectively with backend and frontend 3D engineers.
• Review, test, and validate AI-generated code before delivery.

    Responsibilities

• Build and improve native C++ mesh-processing tools and libraries.
• Implement and integrate geometry-processing algorithms.
• Package geometry operations as reliable headless Linux workers.
• Integrate native processing with backend services and cloud workflows.
• Define clear inputs, outputs, and structured error reporting.
• Optimize processing time, memory usage, and output mesh quality.
• Write unit, integration, and regression tests for geometry operations.
• Collaborate with Three.js developers on mesh formats, units, coordinate systems, and transforms.
• Participate in technical design discussions and code reviews.

• Use AI-assisted development tools responsibly and contribute to engineering best practices.

   

     What We Offer

• Work on an innovative product in the medical-tech and 3D geometry domain.
• High ownership and direct impact on technical decisions.
• Flexible working hours within the European time zone.
• Fully remote, full-time, long-term cooperation.
• A fast-moving environment where strong engineers can influence the product and architecture.
• Company-paid premium AI development tools.
• Professional development support, including courses and certifications.
• 20 paid business days of vacation.
• 5 paid sick-leave days.
• Paid national holidays.

We are building a digital orthodontics platform with interactive browser-based 3D tools.

This role is primarily focused on frontend and 3D development with TypeScript, Angular, Three.js, and WebGL, with Node.js full-stack development as a secondary responsibility. You will build interactive tools for viewing, editing, and working with complex 3D models directly in the browser.

     You Are

• A software engineer with demonstrable experience building interactive web applications through commercial work, substantial personal projects, open-source contributions, or similar production-quality work.
• Strong in modern JavaScript and TypeScript.
• Able to work productively with Angular, including components, services, dependency injection, forms, routing, and application state.
• Experienced with RxJS or comparable reactive and asynchronous state-management patterns.
• Experienced with Three.js or a comparable WebGL-based engine, and ready to work directly with Three.js.
• Comfortable working with scenes, cameras, renderers, lights, meshes, materials, and render loops.
• Experienced with BufferGeometry, vertex attributes, index buffers, normals, typed arrays, and binary mesh data.
• Comfortable with 3D mathematics, including vectors, transformation matrices, local and world coordinate systems, rotations, and quaternions.
• Able to implement interactive 3D behavior such as raycasting, object picking, dragging, surface-constrained movement, camera controls, and object transformations.
• Familiar with triangle meshes, bounding boxes, spatial acceleration structures, collision or proximity checks, and common mesh edge cases.
• Able to work with 3D formats such as STL and understand model loading, coordinate systems, units, normals, and transformations.
• Able to profile and optimize browser rendering, CPU usage, GPU resources, and memory when working with large meshes.
• Familiar with Web Workers, ArrayBuffer, transferable objects, or other approaches for keeping expensive work off the main UI thread.
• Comfortable building and consuming REST APIs.
• Experienced with Node.js and Express, or a comparable backend stack.
• Familiar with file uploads, asynchronous jobs, persistent workflow state, authentication, validation, and error handling.
• Able to write unit, API/integration, and end-to-end tests.
• Familiar with Git workflows, pull requests, code review, and collaborative development.
• Comfortable taking ownership of AI-generated code by reviewing, testing, debugging, and validating it before delivery.

Angular experience is strongly preferred. Candidates with strong React or Vue experience may also be considered if they have substantial browser-3D expertise and can become productive in Angular quickly.

     
     Will Be a Plus

• Experience with three-mesh-bvh or similar BVH/AABB acceleration structures.
• Experience implementing mesh collision detection, proximity checks, or closest-point queries.
• Experience with mesh editing, contour manipulation, cutting planes, or CAD/3D-viewer tooling.
• Familiarity with GLSL, custom shaders, render targets, or GPU-based calculations.
• Experience with WebGL performance profiling and GPU resource lifecycle management.
• Familiarity with glTF/GLB, Draco compression, or other compressed 3D formats.
• Experience with voxel grids, octrees, signed distance fields, or spatial indexing.
• Experience integrating JavaScript applications with C++, WebAssembly, or native geometry-processing services.
• Experience implementing editor-style features such as command history, undo/redo, scene serialization, and reusable transformation tools.
• Experience with SQLite, PostgreSQL, DynamoDB, or repository-based persistence.
• Experience with AWS services such as S3, SQS, DynamoDB, or presigned upload workflows.
• Experience with Docker and containerized local development.
• Experience with Karma/Jasmine, Node’s test runner, and Playwright.
• Experience working with large binary files and object storage.
• Experience in medtech, healthcare, orthodontics, CAD, manufacturing, scientific visualization, or 3D printing.
• Familiarity with AI-assisted development tools such as Cursor, Claude Code, or Codex.

Advanced C++ or machine-learning expertise is not required. You will collaborate with engineers responsible for native geometry processing and ML services, but you should be able to understand their inputs, outputs, coordinate systems, and integration requirements.
 

     What We Expect from You

• Use modern AI development tools to work faster while remaining responsible for the correctness and maintainability of the resulting code.
• Make pragmatic engineering decisions that help us deliver quickly without creating unnecessary complexity.
• Investigate unfamiliar parts of the system independently and communicate important assumptions or risks.
• Proactively identify rendering, performance, memory, state-management, and UX problems and propose practical solutions.
• Validate 3D behavior using representative models and edge cases rather than relying only on visual inspection.
• Be comfortable working in an evolving product with changing priorities and early-stage ambiguity.
• Collaborate effectively with frontend, backend, C++, ML, and product team members.
• Take ownership of a feature across the frontend, 3D scene, API, persistence, and processing workflow when needed.
  
  Responsibilities
• Build and improve Three.js-based clinical 3D viewers and interactive planning tools.
• Implement scan inspection, preparation, and manual cleanup workflows.
• Build tools for mesh selection, surface interaction, landmark editing, transformations, segmentation review, and 2D/3D overlays.
• Maintain consistent transformations and coordinate systems across viewers, workflow steps, saved state, and backend processing.
• Optimize rendering and interaction for large clinical scan meshes.
• Move expensive geometry operations off the main browser thread when necessary.
• Manage mesh loading, caching, resource reuse, and correct disposal of WebGL resources.
• Implement Angular components and focused services following the project’s existing architecture.
• Maintain reliable synchronization between Three.js scene state, Angular state, and backend workflow state.
• Contribute to Express routes, services, repositories, validation, authentication, and storage integrations when a feature requires full-stack changes.
• Integrate the web application with asynchronous C++ geometry-processing and Python ML services.
• Write and maintain frontend unit tests, backend API tests, and Playwright end-to-end tests.
• Participate in technical design discussions and code reviews.
• Use AI-assisted development tools responsibly and help improve the team’s engineering workflows.
   

     What We Offer

• The opportunity to work on an innovative product in the medical-technology and browser-3D space.
• High ownership and direct impact on product UX and technical decisions.
• Close collaboration with specialists in frontend engineering, computational geometry, C++, and machine learning.
• Flexible working hours within the European time zone.
• A fast-moving environment where strong engineers can influence both product direction and system architecture.
• Company-paid access to premium AI developer tools, with a budget of $200+ per month depending on role and needs.
• Professional development support, including relevant courses and certifications.
• 20 paid business days of vacation.
• 5 paid sick-leave days.
• Paid national holidays.

🚀 Project Description

Facie is an early-stage AI product working with face image analysis.

We are looking for a strong Junior Computer Vision / ML Engineer to build a reliable mechanism for measuring facial geometry from photos.
 

The first challenge is straightforward to describe but non-trivial to solve: given a face photo, accurately measure numerical parameters of different facial features, such as eye dimensions, mouth dimensions, nose geometry, jaw proportions, distances between facial landmarks, and other geometric characteristics.
 

This is a greenfield CV problem.

You will not receive a predefined model or a detailed list of experiments to execute. We expect you to explore several possible approaches, quickly validate them, discard what does not work, and find a solution that is good enough to move into the product.
 

At phase 1 - our engineering philosophy is simple:

20% of effort that delivers 80% of the result is often better than spending weeks searching for theoretical perfection.
 

✅ You are:
 

• Confident with Python
• Understand core Machine Learning concepts
• Have practical experience with Computer Vision OR can demonstrate serious interest in the field
• Can work with existing open-source models and libraries
• Comfortable reading unfamiliar code and quickly running existing projects
• Understand basic model inference and API concepts
• Able to turn an unclear problem into several testable hypotheses
• Comfortable when the first approach does not work
• Able to explain how you would validate whether an experiment actually works
• Focused on finding a practical solution rather than endlessly optimizing one approach
• Comfortable using Git and working with an engineering team

Commercial Computer Vision experience is not required.
 

If your primary background is general ML or software engineering, we would still like to talk if you can demonstrate genuine interest in CV through things such as:

• university or online CV courses
• pet projects
• GitHub projects
• Kaggle
• research or thesis work
• reproduced papers
• personal experiments
   

➕ Will be a plus:
 

• OpenCV
• PyTorch or TensorFlow
• MediaPipe or other face landmark solutions
• Experience with face detection, landmarks or segmentation
• Understanding of 2D / 3D geometry
• Experience reading and implementing research papers
• Docker
• Model serving or inference pipelines
• Experience exposing ML functionality through an API
• Experience designing reproducible ML experiments
• Experience with Cursor, Claude Code, Codex or similar AI development tools
   

♟️ What We Expect from You:
 

• Experiment-first thinking - generate several possible approaches instead of betting everything on the first idea
• 80/20 mindset - optimize for time-to-market and find the simplest solution that provides enough accuracy for the product
• Ownership - do not wait for someone to define every next experiment for you
• Validation mindset - always ask how we know that a result is actually correct, especially when perfect ground truth does not exist
• Fast iteration - prototype, measure, learn, discard weak approaches and move forward
• Engineering judgment - understand when ML is needed and when deterministic geometry or conventional code is a better solution
• AI adoption - actively use modern AI coding tools when they help you iterate faster
• AI skepticism - understand and verify AI-generated code instead of blindly trusting it
• Clear communication - explain what you tried, what failed, what worked and what you recommend trying next
   

🔑 Responsibilities:
 

• Research different approaches for measuring facial geometry from images
• Build quick prototypes and experiments
• Evaluate existing Computer Vision models and open-source solutions
• Compare multiple approaches using measurable criteria
• Design practical validation methods when perfect ground truth is unavailable
• Analyze failure cases and identify why particular approaches fail
• Select solutions based on accuracy, complexity and time-to-market
• Build a reproducible facial geometry measurement pipeline
• Document experiments, conclusions and technical decisions
• Prepare successful solutions so they can be integrated by Software Engineers
• Ideally, help turn successful prototypes into an inference service or API
• Proactively suggest the next experiments instead of waiting for detailed tasks
   

🤖 AI-assisted Engineering
 

We actively use modern AI development tools.

You are welcome to use Cursor, Claude Code, Codex or similar tools to write code, explore libraries, integrate models and accelerate experiments.

We do not care whether every line of code was written manually.

We do care whether you understand:

• what you are testing
• why you selected a particular approach
• whether the result can be trusted
• how you validated it
• what the generated code actually does
• what you would try next if the approach fails
   

🍩 What We Offer:
 

• Part-time or Full-time depending on the candidate
• Remote work
• A real Computer Vision problem with direct impact on the product
• Significant ownership of the CV direction
• Freedom to experiment with different technologies and approaches
• Access to paid AI development tools where needed
• Direct communication with the founder and engineering team
• Opportunity to build a Computer Vision system from the greenfield stage into production
• Opportunity to grow from Strong Junior toward independently owning an ML / CV product area
   

🗣 Recruitment Process:
 

Intro Interview → Live Problem-Solving Session → Small Practical Experiment → Final Interview
 

💻 Live Problem-Solving Session (Optional)
 

This is not LeetCode and not a theoretical ML exam.

You will receive a previously unseen Computer Vision problem and will be asked to think aloud and visualize your approach using a whiteboard, Paint, FigJam or a similar tool.

We want to understand:

• how you decompose an unclear problem
• how many reasonable approaches you can generate
• what you would test first
• how you prioritize experiments
• how you validate results
• what you do when the first few approaches fail
• when you decide that a solution is good enough to ship
   

🧪 Practical Experiment (Optional)

Selected candidates will receive a small Computer Vision experiment.

You can use:

• AI coding tools
• Google
• documentation
• open-source models
• existing libraries
• research papers

We are not testing your ability to code without assistance.
 

We are testing your ability to turn an ambiguous CV problem into a working and validated solution quickly.
 

The expected output is a small working prototype plus a short explanation of:

• approaches considered
• approach selected
• why it was selected
• how the result was validated
• discovered limitations or failure cases
• what you would try next with one additional day