Full-Time ML Scientist Foundation Model

In this role, you'll join a core team focused on building and scaling foundation models across a variety of modalities. You will work on training large multimodal models and fine-tuning checkpoints to domain-specific tasks. The team is responsible for the full lifecycle of model development, from data pipeline design and training infrastructure to evaluation, optimization, and deployment into production environments. This role is ideal for someone who thrives at the intersection of model research and production implementation, and who is excited to contribute to the next generation of scalable AI systems.

• You will work closely with engineering and research teams to build and optimize models, develop evaluation pipelines, and drive task-specific model performance improvements.
• Your work will span training, profiling, inference, and fine-tuning, using state-of-the-art tools and methodologies across supervised and unsupervised domains.

• Bachelor's or Master's degree in Computer Science, Physics, Mathematics, or a related field
• Python programming
• Neural network model development, including experience building or fine-tuning large models (e.g., recommendation systems)
• Model performance profiling and optimization
• Developing scalable ML evaluation pipelines
• Multimodal model training and data pipeline development
• Task-specific fine-tuning and distillation methods

• Training or experimentation with Transformer, Diffusion, Graph, Contrastive, or Genetic models
• ML platform engineering at scale, preferably on GCP
• Evaluation framework design and implementation
• Experience working in production environments with distributed training or inference

• Strong technical foundation in machine learning and systems
• Demonstrated ownership of complex ML development workflows
• Collaborative mindset and comfort working across teams
• Curiosity and enthusiasm for exploring a wide range of ML architectures and training techniques
• Excellent communication and documentation skills

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