Senior Machine Learning Engineer

📋 Description

• Design and build LLMOps infrastructure supporting the development, evaluation, deployment, and
• Build scalable training and fine-tuning infrastructure for commercial and open-weight language
• Develop pipelines supporting supervised fine-tuning, parameter-efficient fine-tuning, preference
• Build infrastructure for distributed training and GPU-accelerated ML workloads.
• Develop data pipelines for training, fine-tuning, evaluation, and synthetic data generation.
• Build systems for dataset versioning, lineage, quality validation, transformation, and reproducible

🎯 Requirements

• U.S. Citizenship is required
• 5+ years of experience building production machine learning systems, ML infrastructure, distributed
• Deep experience designing, building, and operating production ML infrastructure or ML platforms.
• Experience building infrastructure for training, fine-tuning, evaluating, deploying, and monitoring
• Experience with LLM fine-tuning and post-training workflows, including techniques such as
• Strong understanding of the modern LLM lifecycle, including data preparation, training, evaluation

🎁 Benefits

• Opportunity to work at the forefront of enterprise readiness and AI-native platforms
• Collaboration with a dynamic team in a mission-driven environment
• Travel opportunities for team collaboration and planning
• Equal opportunity employer with consideration regardless of protected characteristics