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Arena Club CV/ML Engineer in Los Angeles, California

About Arena Club

If you're passionate about sports cards and memorabilia, Arena Club is the place for you. We are revolutionizing the collectibles space by creating the first-ever digital card show. Led by 5x World Series Champion Derek Jeter and serial entrepreneur Brian Lee, Arena Club has built an entirely digital marketplace that utilizes transparent authentication, grading, and vaulting to share and display your cards in a personalized online showroom, no matter where you are.

About The Role

We are seeking a highly skilled and experienced Machine Learning Engineer specializing in Computer Vision to join our innovative team. As a key contributor, you will design, implement, and optimize machine learning algorithms that enhance our platform. This role offers a unique opportunity to work on cutting-edge solutions and make significant contributions to the project and the company as we expand our digital marketplace.

What You Will Do

Design, prototype, implement, evaluate, optimize, and monitor machine learning algorithms and software that can identify data points on trading cards.

  • Build and maintain production ML pipelines on AWS

  • Migrate ML pipelines from on-premise machine to AWS

  • Build, test, deploy, and maintain production systems

  • Maintain and promote best practices for software development, including deployment processes, documentation, and coding standards

  • Contribute to technical and product discussions, and share knowledge and ideas with colleagues across the company

Basic Qualifications

  • 5+ years of experience in machine learning, data science, or related fields

  • 2+ years of experience with Computer Vision

  • Strong programming skills in Python or other relevant languages

  • Experience in dockerizing ML pipelines

  • In-depth knowledge of machine learning algorithms and techniques

  • Familiarity with popular machine learning frameworks, such as TensorFlow or PyTorch

  • Experience building machine learning pipelines on cloud platforms (AWS, GCP, Azure, Databricks)

  • Basic knowledge and experience with OpenCV

  • Strong problem-solving skills and the ability to think critically and creatively

Preferred Qualifications

  • Experience working at a startup

  • Experience with MLFlow

  • Experience building and testing large-scale models using OpenCV

  • Ability to work effectively in a remote team environment and collaborate with engineers across various time zones

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