Middle/Senior ML Engineer

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.