Founding Machine Learning Engineer

About this role

A founding ML engineer role at a Series A AI startup focused on training data and model evaluation. You'll design and deploy production ML systems, work with LLMs and generative models, and help establish technical infrastructure from the ground up.

What you'll do

• Build and optimize end-to-end ML pipelines from data ingestion through production deployment
• Implement and fine-tune LLMs, embeddings, and generative models for real-world applications
• Develop efficient distributed training and inference systems at scale
• Collaborate with data and product teams to translate ideas into measurable ML impact
• Contribute to model monitoring, evaluation, and continual learning frameworks
• Establish best practices for model versioning, reproducibility, and scalability

What they're looking for

• Python
• PyTorch, TensorFlow, or JAX
• End-to-end ML pipeline development
• LLM and generative model fine-tuning
• Distributed training and inference systems
• AWS, GCP, or Azure
• MLflow or Weights & Biases
• Cross-functional collaboration

Benefits

• Salary: $220,000–$300,000 per year
• Equity participation as founding team member
• Shape technical direction and culture at early-stage startup
• Hands-on role building from scratch
• On-site in Mountain View, California