Founding Engineer - Machine Learning
Core
Build and optimize end-to-end ML pipelines, implement and fine-tune LLMs/embeddings/generative models, and develop distributed training/inference systems.
Role type
Founding Machine Learning Engineer
Builds
End-to-end ML pipelines, LLMs, embeddings, generative models, distributed training/inference systems
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow/JAX, data preprocessing, feature engineering, model training, optimization, distributed systems, cloud ML infrastructure, MLOps tooling (Weights and Biases/MLflow), large-scale data handling
Preferred skills
Experience at AI data/labeling/frontier model companies
Technologies
Python, PyTorch, TensorFlow, JAX, Weights and Biases, MLflow
Responsibilities
Build and optimize end-to-end ML pipelines from data ingestion through deployment; Implement and fine-tune LLMs, embeddings, and generative models for real-world applications; Develop efficient distributed training and inference systems; Contribute to model monitoring, evaluation, and continual learning frameworks; Establish best practices for model versioning, reproducibility, and scalability; Independently debug ML systems
Seniority
Mid-to-Senior, hands-on IC