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Founding Engineer - Machine Learning

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Founding Engineer - Machine Learning in USA

  • Mountain View, CA

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.
  • Partner with data and product teams to turn ideas into measurable ML impact.
  • Contribute to model monitoring, evaluation, and continual learning frameworks.
  • Establish best practices for model versioning, reproducibility, and scalability.
  • Independently debug ML systems without relying on AI coding assistants.

Requirements

  • 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer.
  • Proficiency in Python and at least one of PyTorch, TensorFlow, or JAX.
  • Strong understanding of data preprocessing, feature engineering, model training, and optimization.
  • Hands-on experience with distributed systems, cloud ML infrastructure, and MLOps tooling such as Weights and Biases or MLflow.
  • Experience working with large datasets and high-throughput systems.
  • Background at an AI data, labeling, or frontier model company is a strong plus.
  • Ability to work autonomously with a bias for action and enthusiasm for building from scratch.

Benefits

  • Equity is included.
  • On-site work in Mountain View, California, United States.

Salary: $220k - $300k/yr

Clera

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