United States onlyAt 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.
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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