Founding Engineer - Machine Learning
Core
Build and scale core machine learning systems from the ground up, designing, training, and shipping production-grade ML models.
Role type
Founding Machine Learning Engineer
Builds
Production-grade ML models, end-to-end ML pipelines, and foundational infrastructure for model training and inference.
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, JAX, distributed systems, cloud ML infra (AWS, GCP, Azure), MLOps tools, data preprocessing, feature engineering, model training, optimization
Preferred skills
Experience with LLMs, embeddings, generative models, model monitoring, evaluation, continual learning frameworks, model versioning, reproducibility
Technologies
Python, PyTorch, TensorFlow, JAX, AWS, GCP, Azure, Weights & Biases, MLflow
Responsibilities
Build and optimize end-to-end ML pipelines from data ingestion to deployment; Implement and fine-tune LLMs, embeddings, and generative models; Develop efficient training and inference systems leveraging distributed compute; Partner with data and product teams to translate ideas into measurable ML impact; Contribute to model monitoring, evaluation, and continual learning frameworks; Establish best practices in model versioning, reproducibility, and scalability
Seniority
Early-stage, hands-on IC
