Founding Engineer - Machine Learning

About this role

Join a Series A AI company as a Founding ML Engineer to design and deploy production machine learning systems serving frontier labs and enterprises. You'll own end-to-end ML pipelines—from data ingestion through model optimization—while establishing technical infrastructure and best practices alongside the founding team.

What you'll do

• Build and optimize end-to-end ML pipelines from data ingestion through deployment
• Implement and fine-tune LLMs, embeddings, and generative models for production applications
• Develop distributed training and inference systems leveraging cloud compute infrastructure
• Partner with data and product teams to translate requirements into measurable ML outcomes
• Design model monitoring, evaluation, and continual learning frameworks
• Establish best practices for model versioning, reproducibility, and scalability

What they're looking for

• Python programming
• PyTorch, TensorFlow, or JAX
• ML fundamentals (data preprocessing, feature engineering, model training, optimization)
• Distributed systems and cloud ML infrastructure (AWS, GCP, or Azure)
• MLOps tooling (Weights & Biases, MLflow)
• Large-scale data handling and high-throughput systems
• LLM and generative model fine-tuning
• Autonomous problem-solving and bias for action

Benefits

• Equity commensurate with founding team role
• Opportunity to define technical culture and ML infrastructure from the ground up
• Remote work arrangement not available; on-site in Mountain View, CA
• High-ownership, high-impact role directly shaping company direction
• Collaboration with cutting-edge AI research and deployment