• Design and implement scalable backend systems, focusing on performance, resilience, and maintainability. • Build and optimize data pipelines using Apache Spark and SQL to efficiently process large volumes of data. • Collaborate with data scientists to develop, refine, and deploy machine learning models in production environments. • Apply mathematical concepts such as statistical analysis, linear algebra, and optimization techniques to design algorithms, enhance data models, and evaluate system performance. • Work across multiple languages, including Scala, Python, and Java, to implement data-centric and AI-driven features. • Partner with cross-functional teams, including product managers and data scientists, to build innovative and impactful software solutions. • Participate in system architecture design, code reviews, mentoring, and continuous improvement of engineering practices.

• Tuning the performance of clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. • Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. • Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. • Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. • Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation.

• Analyze functional and technical requirements to define comprehensive test strategies and automation needs • Design, write, maintain, and manage automated UI and API test suites • Contribute to building and enhancing scalable automation frameworks (e.g., Playwright, Rest-Assured) • Identify, plan, and execute exploratory, functional, integration, performance, and regression tests • Collaborate with development and product teams to validate testing requirements and optimize test coverage • Champion best practices for automation, test data management, CI/CD integration, and code quality • Monitor, troubleshoot, and optimize automation pipelines and test frameworks for dependability, scalability, and stability • Perform root cause analysis and support teams in identifying and preventing defects

Dandy is transforming the massive and antiquated dental industry—an industry worth over $400B. Backed by some of the world’s leading venture capital firms, we’re on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world—empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. About the Role In the past 3 years, Dandy has built the leading digital-first custom dental appliance manufacturer. As we move to the next level of scale, we are looking for a Senior Software Engineer to build the foundation of our ML Platform. You will be the bridge between SoTA Computer Vision research and production-grade reliability. You will design and scale the infrastructure that handles massive 3D datasets, orchestrates complex training pipelines, and ensures our generative models are deployed with high reliability. What You’ll Do - Collaborate with Machine Learning Engineers to build the ML training pipelines that process massive 3D datasets, orchestrate model training, and enable continuous model improvements. - Streamline the ML lifecycle, from data labeling and experimentation to deployment, by optimizing internal ML components and reducing technical debt. - Develop and maintain cloud-native systems and tooling (GCP/Kubernetes) that support Dandy’s 3D dental products in a secure, well-tested, and high-performing manner. - Write clean, maintainable code and tests that set the standard for our internal best practices. - Partner with stakeholders across the Engineering organization to influence long-term architectural goals and maintain a high-quality bar. What We’re Looking For - 5+ years of experience working as a Machine Learning Engineer or Software Engineer, ideally within a high-growth startup environment. - Deep proficiency in building and maintaining ML Platform components, such as feature stores, model registries, and distributed training. - Experience with Python-based ML frameworks (PyTorch/TensorFlow) and experience with 3D geometric Computer Vision is a plus. - Deep expertise in large-scale data processing, with proven experience building ML data pipelines to empower complex model training. - Experience creating and maintaining automated build processes across multiple environments (e.g., Buildkite). - Strong background in implementing metrics, logging, and tracing to monitor complex distributed systems. - Ability to communicate concisely about complex architectural problems and propose iterative, pragmatic solutions. - New York City area candidates: Ability to work hybrid / 3 days a week at the company HQ in NYC Req ID: J-962 For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off—ensuring our team members are supported no matter where they live and work. Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more! Data Privacy Notice: By submitting your application, you consent to Dandy collecting, storing, and processing your personal information for recruitment purposes in accordance with our Privacy Policy and GDPR regulations. You have the right to access, rectify, or request the deletion of your data at any time by contacting Privacy Requests.