Senior Machine Learning Engineer

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

• 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.