Clera · Remote

Founding Engineer - Machine Learning at Clera — Remote

Full-timeRemotePosted 2026-07-10Apply on Ashby

Full job description

About the Role

A well-funded AI/ML platform startup (Series A) based in Mountain View, CA is looking for a Founding Engineer – Machine Learning to build and scale core ML systems from the ground up. You'll join a small, high-velocity team working closely with the founders to establish technical culture, reliable ML pipelines, and measurable product impact. This is a rare opportunity to shape the architecture and direction of ML infrastructure at an early stage.

What You'll Do

  • 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 use cases.
  • Develop efficient training and inference systems leveraging distributed compute.
  • Partner with data and product teams to translate ideas into measurable ML outcomes.
  • Contribute to model monitoring, evaluation, and continual learning frameworks.
  • Establish best practices for model versioning, reproducibility, and scalability.
  • Move quickly between experimentation and production deployments, balancing research and engineering rigor.

What We're Looking For

Required:

  • 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer.
  • Strong ML fundamentals: data preprocessing, feature engineering, model training, and optimization.
  • Proficiency in Python and at least one deep learning framework: PyTorch, TensorFlow, or JAX.
  • Experience with distributed training/inference and cloud ML infrastructure (AWS, GCP, or Azure).
  • Hands-on experience building end-to-end ML pipelines from data ingestion to production deployment.
  • Familiarity with MLOps tooling (e.g., Weights & Biases, MLflow) and model monitoring approaches.
  • Comfortable working with large datasets and high-throughput systems.
  • Bias for action, ability to work autonomously, and eagerness to build systems from scratch.
  • Willingness to work onsite in Mountain View, CA.

Nice to Have:

  • Experience with vector databases and retrieval-augmented generation (RAG) workflows.
  • Experience with continual learning, model monitoring, and evaluation frameworks.

Compensation & Benefits

  • Salary: $220,000 – $300,000 USD annually
  • Early-stage equity commensurate with a founding engineer role
  • Note: Visa sponsorship is not available for this position

Location

Onsite in Mountain View, CA. This is not a remote role.

Required skills

  • python
  • google cloud platform
  • pytorch
  • mlops
  • machine learning
  • amazon web services
  • tensorflow
  • large language model
  • deep learning
  • artificial intelligence
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Questions about this Founding Engineer - Machine Learning role

Is the Founding Engineer - Machine Learning role at Clera still open?
Yes — this posting is active and accepting applications through 2026-08-09. Listings can close once filled, so apply soon.
Where is the Founding Engineer - Machine Learning job at Clera located?
This is a remote role — work from anywhere in the US.
How do I apply for the Founding Engineer - Machine Learning role at Clera?
Apply directly through Clera's official hiring system, or let the Jobeezy app fill out and submit the application for you automatically.
Does Jobeezy apply to jobs for me?
Yes. Jobeezy can auto-apply to roles like this Founding Engineer - Machine Learning position on your behalf — you set your preferences once and confirm, and it handles the rest.

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