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Senior Machine Learning Engineer at Code Metal. At Code Metal, we transform vast datasets, advanced AI models and high-performance infrastructure into actionable intelligence. As a Machine Learning Engineer, you will play a critical role in designing, training and deploying production-grade AI systems that drive decision-making at scale. This is a hands on position where technical excellence, experimentation and collaboration converge to deliver solutions with real world impact.. 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.. Why Code Metal?. . Impactful work:. your models support decisions that shape complex systems and operations. . . High-velocity environment:. small, focused teams with rapid iteration cycles. . . Ownership and responsibility:. every engineer contributes directly to production systems that matter.. 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. Company Location: United States.