Dandy hiring Senior Machine Learning Operations Engineer - Computer Vision • Remote (Work from Home) | Himalayas
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Senior Machine Learning Operations Engineer - Computer Vision

Dandy is a digital dental lab that provides dentists with technology, innovation, and support to modernize their practices.

Dandy

Employee count: 1001-5000

United States only

Dandy is a rapidly growing startup transforming the dental industry with technology. We're hiring a Senior MLOps Engineer to join our Machine Learning team and contribute to the development of our ML platform.

Requirements

  • 5+ years of software experience
  • 3+ years MLOps engineering experience
  • 1+ years of experience working directly with machine learning model training and evaluation
  • Hands-on experience working with ML models for performance and training optimizations
  • Hands-on experience with one of the cloud platforms such as AWS, GCP or Azure
  • Experience building and maintaining CI/CD pipelines with best practices
  • Familiarity with ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Familiarity with containerization tools (e.g., Docker, Kubernetes) and orchestration platforms (e.g. Kubeflow)
  • Comfort working in a highly agile, intensely iterative software development process
  • Self-motivated, self-managing and takes ownership, with excellent organizational skills

Benefits

  • healthcare
  • dental
  • mental health support
  • parental planning resources
  • retirement savings options
  • generous paid time off

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Dandy

Learn more about Dandy and their company culture.

View company profile

The story of Dandy begins with a personal journey of frustration and a vision for a better way. Co-founder Daniel Hanover's formative years were spent in and out of dental offices, where he experienced firsthand the inefficiencies plaguing the industry. From cumbersome putty impressions to the administrative burdens of paperwork, he saw an opportunity to revolutionize the dental space. This personal experience became the seed of an idea that would grow into Dandy, a company on a mission to modernize the dental lab process and become the operating system for every dental practice in America. Together with his co-founder, Toni Oloko, whom he met at the University of Pennsylvania, they embarked on a journey to address these long-standing issues. Initially launched under the name Orthly, the company first focused on the direct-to-consumer clear aligner market. However, the founders soon realized that their true calling was to empower dentists by digitizing their entire workflow.

With a pivot to a B2B model, Dandy was officially launched to tackle the massive, yet antiquated, $200 billion dental industry. The company's vision was ambitious: to create a seamless, end-to-end digital platform that would replace outdated methods with cutting-edge technology. This meant providing dentists with state-of-the-art intraoral scanners, AI-driven software, and a fully integrated digital dental lab. By doing so, Dandy aimed to not only improve operational efficiency but also enhance patient outcomes. The company's growth has been nothing short of remarkable. In just a few years, Dandy has expanded from a small team to over a thousand employees, serving thousands of dentists across the United States. Their platform now offers a wide range of products and services, from crowns and bridges to dentures and aligners, all produced with greater speed, accuracy, and consistency. Backed by leading venture capital investors, Dandy continues to innovate, leveraging AI, 3D printing, and robotics to push the boundaries of what's possible in dentistry. With over two million people already having a Dandy product in their mouths, the company is well on its way to achieving its goal of making the business of dentistry pain-free for practitioners and their patients alike.

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Dandy

Company size

1001-5000 employees

Founded in

2020

Chief executive officer

Daniel Hanover, Toni Oloko

Employees live in

View company profile

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