Founding Engineer - Machine Learning

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Founding Engineer - Machine Learning in USA

Clera
Full time
Email

USA
09/06/2026
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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

Clera harnesses the power of artificial intelligence to match high-growth startups with exceptional talent, streamlining the entire headhunting process. This innovative approach simplifies the job search for candidates while providing startups with access to a curated pool of skilled professional...

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