Senior Machine Learning Engineer

Job not on LinkedIn

October 14

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Logo of Code Metal

Code Metal

Artificial Intelligence • SaaS • Enterprise

Code Metal is an innovative company focused on automating edge development solutions. They offer a streamlined approach to code modernization and automated code translation, allowing for easy deployment across various platforms. With a strong emphasis on AI-powered development, Code Metal aims to transform complex coding tasks into efficient processes, making them a leader in edge technology and software performance.

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

💰 Seed Round on 2024-07

📋 Description

• Build robust, scalable pipelines for model training and inference, ensuring reliability and reproducibility. • Implement, refine and extend core models and frameworks to achieve state of the art performance. • Design, execute and analyze experiments to translate research insights into actionable AI solutions. • Collect, clean and synthesize high quality data for training models, both in the wild and generated. • Review the latest literature, implement new techniques, and integrate them into production-ready systems. • Provide technical leadership through code reviews, design discussions, and best practice guidance.

🎯 Requirements

• Bachelor’s degree in Computer Science or a closely related field • 2+ years experience training and deploying deep learning models • 3+ years experience in full-stack software engineering • Proficient in Python and familiar with frameworks such as PyTorch and HuggingFace • **Preferred Qualifications** • Advanced degree (MS/PhD) in Computer Science or related field • Lead author publications at peer-reviewed conferences such as NeurIPS, ICLR or ICML • Experience with large scale LLM training in distributed computing environments

🏖️ Benefits

• Health care plan with 100% premium coverage, including medical, dental and vision. • 401k with 5% matching. • Paid Time Off (Uncapped Vacation, plus Sick & Public Holidays). • Flexible hybrid work arrangement. • Relocation assistance for qualifying employees.

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