Dandy

Company Name: Dandy
Job Title: Senior Machine Learning Engineer I
Job Description: Job Title: Senior Machine Learning Engineer I Role Summary: Lead the development of 3‑D computer vision and generative AI models for a digital‑first dental manufacturing platform. Establish ML foundations, research SOTA methods, create robust pipelines, and deliver product‑impacting features across a global remote team. Expectations: 5+ years post‑Master or 3+ post‑PhD in machine learning or related field. Strong research aptitude, impeccable Python coding, deep‑learning expertise (PyTorch or TensorFlow), and rigorous attention to detail. Deliver high‑quality models, evaluate datasets, implement MLOps best practices, and collaborate closely with product and research stakeholders. Key Responsibilities: • Build, fine‑tune, and evaluate ML models that extract structure from unstructured 3‑D scans and related sensory data. • Research and apply state‑of‑the‑art 2‑D/3‑D deep‑learning and generative AI techniques to new and existing product lines. • Identify and propose data‑driven product improvements in partnership with product owners and research teams. • Manage large datasets, design evaluation metrics for dataset/model confidence, and ensure reproducibility. • Implement and maintain MLOps pipelines, automating training, testing, deployment, and monitoring. • Deliver feature‑driven releases quickly while maintaining code quality and documentation standards. Required Skills: • Python programming (NumPy, Pandas, Scikit‑learn, etc.). • Deep‑learning framework – PyTorch or TensorFlow – with proven model‑building experience. • Strong grasp of geometric computer vision, 3‑D reconstruction, or related domains (preferred). • Knowledge of generative AI and 3‑D model generation techniques (preferred). • Experience with large‑scale datasets, versioning, and evaluation pipelines. • MLOps practices: CI/CD, model versioning, deployment automation. • Excellent code quality, testing, documentation, and detail orientation. • Effective communication and collaboration with cross‑functional teams. Required Education & Certifications: • Master’s degree in Computer Science, Machine Learning, Computer Vision, or closely related discipline required; Ph.D. preferred. • No specific certifications required.

United kingdom

Remote

Senior

21-02-2026

Company Name: Dandy
Job Title: Software Engineer II, Product Lines Engineer (Full Stack)
Job Description: **Job Title** Software Engineer II, Product Lines Engineer (Full Stack) **Role Summary** Design, build, and maintain core ordering and product‑launch workflows for a cloud‑based dental practice platform. Possess end‑to‑end ownership across the stack, collaborating with product, engineering, operations, and R&D teams to deliver high‑quality experiences in a fast, ambiguous environment. **Expectations** - Minimum 2 years commercial software‑engineering experience. - Proven professional use of TypeScript, React, and GraphQL in production. - Comfortable leading initiatives across frontend, backend, infra, or data layers. - Strong problem‑solving skills, capacity to learn quickly, and ability to thrive amid ambiguity. - Willingness to travel to manufacturing sites (Salt Lake City, Dallas) as required. **Key Responsibilities** - Develop, test, and maintain core ordering flows consumed by customers. - Debug and optimize processes that span development, manufacturing, and support. - Partner with product managers, GMs, process engineers, and CAD designers to prototype and launch new dental products. - Collaborate with R&D to translate product innovations into reliable software. - Identify and implement efficiency improvements across existing product lines. - Participate in code reviews, architectural discussions, and cross‑functional meetings. **Required Skills** - TypeScript, React, GraphQL (core competencies). - Full‑stack familiarity: backend frameworks, database access, infra tooling, and data handling. - Optional but advantageous: NestJS, TypeORM, Electron. - Excellent coding standards, testing, and debugging practices. - Proactive communication and self‑direction in ambiguous settings. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field. - No mandatory certifications required; relevant industry or technology certifications are a plus.

New york, United states

Hybrid

Junior

28-02-2026

Company Name: Dandy
Job Title: Machine Learning Engineer II
Job Description: **Job Title:** Machine Learning Engineer II **Role Summary:** Design, build, and deploy machine‑learning models for extracting and generating 3D dental structures from dense scans. Lead foundational research and MLOps best practices within a global remote team focused on 3D computer vision and generative AI for dental manufacturing. **Expectations:** * Deliver high‑quality, production‑ready ML solutions that accelerate product innovation. * Solve complex, previously unsolved data challenges with scalable impact. * Collaborate closely with product owners and researchers to rapidly ship feature‑focused value. **Key Responsibilities:** 1. Develop and train models to parse unstructured 3D scans and sensor data. 2. Research state‑of‑the‑art 2D/3D deep‑learning techniques for generative and conventional CV tasks. 3. Fine‑tune generic models on large dental datasets for specialized applications. 4. Create robust evaluation frameworks to validate dataset integrity and model performance. 5. Implement MLOps pipelines, ensuring reproducibility, versioning, and deployment efficiency. 6. Partner with product and research teams to identify and prioritize improvement opportunities. **Required Skills:** * 2+ years ML experience or recent PhD in computer science, AI, or related field. * Proficient in Python; strong experience with PyTorch or TensorFlow. * Solid understanding of modern deep‑learning architectures and MLOps workflows. * Excellent attention to detail and ability to produce clean, maintainable code. * Prior exposure to 3D geometric computer vision or 3D deep‑learning a plus. **Required Education & Certifications:** * Master’s or PhD in computer science, machine learning, AI, or a closely related discipline. ---

New york, United states

Hybrid

Junior

18-03-2026

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