orthoeye.digital

We are looking for a senior Java engineer to take a key technical role in the next phase of our product.

We already have a solid, working codebase built by an experienced team. The system is in production and handles non-trivial 3D workflows, geometric calculations, and integrations with AI-driven services. The current challenge is not code quality, but a shift in product concept and focus.

The original team is no longer available for further development, so we are starting a new MVP phase. The goal is to simplify the product, clarify responsibilities between modules, and reshape the architecture around a strong existing core.

This role is not about fixing broken code or cleaning up chaos.
It is about reading and understanding an existing system, identifying what truly matters, and making deliberate architectural decisions to turn a complex platform into a clean, focused MVP that can evolve further.

A key part of the system is mathematics-heavy logic: geometry, vectors, transformations, 3D measurements, and spatial reasoning. You do not need to be a researcher, but you must be comfortable working close to math, not just REST controllers and CRUD.

You will work directly with the founder and a small senior team. The communication is short, decisions are fast, and your input will directly shape both the technical and product direction.

What you will work on

• Understanding and owning a Java-based backend with complex geometric logic
• Making architectural decisions around existing segmentation and calculation pipelines
• Simplifying workflows for a new MVP while preserving core capabilities
• Collaborating with AI and frontend engineers on clear module boundaries
• Preparing the system for further scaling once the MVP is validated

What we are looking for

• Strong senior-level Java experience (backend, not just frameworks)
• Solid understanding of object-oriented design and system architecture
• Comfort working with mathematics, geometry, vectors, or 3D-related logic
• Experience reading and evolving an existing codebase
• Ability to work independently and discuss trade-offs clearly

Nice to have

• Experience with 3D data, graphics pipelines, CAD, medical or engineering software
• AWS experience (the system runs in AWS)
• Interest in AI-adjacent systems, even if you are not an ML engineer

This is a role for someone who enjoys thinking, not just implementing tickets, and who wants real influence on how a product is reshaped at a critical moment.

Here is the ML Engineer version of that vacancy, adapted to your product, domain, and constraints:

Senior Machine Learning Engineer (Dental / Orthodontics, 3D Geometry)
 

We are looking for a Senior Machine Learning Engineer to take ownership of the AI core of our orthodontic platform.

We already have a working production system and existing ML models operating on 3D dental data (STL files). The challenge is not to build everything from scratch, but to understand, improve, retrain, and evolve an existing ML stack as the product enters a new MVP phase.
 

The original development team is no longer available, and we are now simplifying and refocusing the product. This role is about turning an existing, complex ML system into a clean, reliable, and extensible AI foundation that can support a scalable orthodontic product.

You will work directly with the founder and a small senior engineering team. Decisions are fast, communication is direct, and your technical judgement will directly shape both the product and the AI roadmap.

This is not a Kaggle-style research role.

This is real production ML on 3D medical data, with business and clinical impact.
 

What you will work on

• Taking ownership of existing ML models used for orthodontic / dental analysis
• Understanding, retraining, fine-tuning, and improving current models
• Modifying or extending model architectures when needed
• Potentially designing and training new models when existing ones no longer fit the product
• Working with STL files and 3D dental geometry as model inputs
• Collaborating closely with backend engineers to integrate models into production pipelines
• Ensuring models are stable, reproducible, and production-ready
   

What we are looking for

• Strong experience as an ML Engineer in production systems
• Ability to read, understand, and modify existing ML codebases
• Experience training, fine-tuning, and validating models (not just using pretrained ones)
• Solid Python + ML stack (PyTorch / TensorFlow or similar)
• Comfort working with geometric, spatial, or 3D data
• Ability to reason about trade-offs between model accuracy, performance, and engineering constraints
   

Domain-specific requirements

• Experience working with STL files or 3D mesh data
• Understanding of 3D geometry, point clouds, meshes, or surface models
• Familiarity with dental / orthodontic software (e.g. 3Shape, or similar) is a strong plus
   

Nice to have

• Experience with medical, dental, CAD, or 3D scanning data
• Experience deploying ML models into backend systems (APIs, pipelines, batch jobs)
• AWS or cloud experience
• Interest in building end-to-end AI products, not just isolated models
   

This role is for someone who enjoys working at the intersection of ML, 3D geometry, and real-world medical applications — and who wants to have a real influence on how an AI-driven product is rebuilt and scaled at a critical stage.