Machine Learning Engineer

November 5

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Rad AI

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Manufacturing • Hardware • Engineering

Rad AI is a company that specializes in custom manufacturing and processing solutions, particularly in the fabrication of components such as casters and material handling devices. They offer a range of products including adjustable casters and OEM parts designed for various industrial applications. Based in Somerset, Michigan, Rad AI is committed to high-quality engineering and manufacturing services.

51 - 200 employees

Founded 2018

🔧 Hardware

💰 $25M Series A on 2021-11

📋 Description

• Implement and maintain the infrastructure that supports our machine learning applications, services, and workflows • Build, maintain, and improve our ML platform that supports continuous integration, continuous delivery, and continuous training for our machine learning models • Develop fullstack, cloud-native services and serverless architectures to build scalable and resilient systems • Plan, design, and develop components in the data pipeline to enable various machine learning models in production • Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment • Deploy and maintain the full ML platform stack including monitoring and observability, data analytics, backend integration with customer-facing products, and the full model R&D lifecycle • Work with Product Management, Research, and Engineering to iterate on new features and address inefficiencies across our AI/ML infrastructure

🎯 Requirements

• 3+ years of industry experience in ML Engineering in cloud-native environments • In-depth knowledge of Python and Javascript/Typescript (preferable), or other modern languages in the ML domain • Experience with infrastructure and DevOps tools such as Kubernetes, Docker, and Ansible • Experience in distributed systems, storage systems, and databases • Strong knowledge of cloud computing platforms such as AWS (preferable), GCP, and Azure. • Experience with monitoring, tracing, and logging tools such as Cloudwatch, NewRelic, Grafana, etc. • Familiarity with infrastructure-as-code tools such as Terraform (preferable), Pulumi, Cloud Formation, etc. • Excellent communication skills, with a strong sense of ownership and a systematic approach to problem-solving

🏖️ Benefits

• Comprehensive Medical, Dental, Vision & Life insurance • HSA (with employer match), FSA, & DCFSA • 401(k) • 11 Paid Company Holidays • Location Flexibility (Remote-first company!) • Flexible PTO policy • Annual company-wide offsite • Periodic team offsites • Annual equipment stipend • For roles based outside the US, your recruiter can share more details