Arena Club
CV/ML Engineer
Arena Club, Los Angeles, California, United States, 90079
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 AWSMigrate ML pipelines from on-premise machine to AWSBuild, test, deploy, and maintain production systemsMaintain and promote best practices for software development, including deployment processes, documentation, and coding standardsContribute 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 fields2+ years of experience with Computer VisionStrong programming skills in Python or other relevant languagesExperience in dockerizing ML pipelinesIn-depth knowledge of machine learning algorithms and techniquesFamiliarity with popular machine learning frameworks, such as TensorFlow or PyTorchExperience building machine learning pipelines on cloud platforms (AWS, GCP, Azure, Databricks)Basic knowledge and experience with OpenCVStrong problem-solving skills and the ability to think critically and creatively
Preferred Qualifications
Experience working at a startupExperience with MLFlowExperience building and testing large-scale models using OpenCVAbility to work effectively in a remote team environment and collaborate with engineers across various time zones
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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 AWSMigrate ML pipelines from on-premise machine to AWSBuild, test, deploy, and maintain production systemsMaintain and promote best practices for software development, including deployment processes, documentation, and coding standardsContribute 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 fields2+ years of experience with Computer VisionStrong programming skills in Python or other relevant languagesExperience in dockerizing ML pipelinesIn-depth knowledge of machine learning algorithms and techniquesFamiliarity with popular machine learning frameworks, such as TensorFlow or PyTorchExperience building machine learning pipelines on cloud platforms (AWS, GCP, Azure, Databricks)Basic knowledge and experience with OpenCVStrong problem-solving skills and the ability to think critically and creatively
Preferred Qualifications
Experience working at a startupExperience with MLFlowExperience building and testing large-scale models using OpenCVAbility to work effectively in a remote team environment and collaborate with engineers across various time zones
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