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Founding Machine Learning Engineer

Role overview

Qualifications

  • 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer
  • Proficiency in Python and at least one major ML framework: PyTorch, TensorFlow, or JAX
  • Strong grasp of ML fundamentals — data preprocessing, feature engineering, model training, and optimization
  • Hands-on experience with distributed systems and cloud ML infrastructure (AWS, GCP, or Azure)

Responsibilities

  • Build and optimize end-to-end ML pipelines, from data ingestion through to deployment
  • Implement and fine-tune LLMs, embeddings, and generative models for real-world applications
  • Develop efficient training and inference systems leveraging distributed compute
  • Partner with data and product teams to translate ideas into measurable ML impact

About the company

Clera Inc. logo

Clera Inc.

Staffing & Recruiting

Company details

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Job description

About the Role

This is a founding-level Machine Learning Engineer role at a well-funded Series A AI data and services startup based in Mountain View, CA. You will join a small, high-caliber team building and scaling core ML systems from the ground up — bridging research and engineering to design, train, and ship production-grade models for top AI frontier labs. This is a high-ownership position where your work directly shapes the company's technical culture, infrastructure, and long-term ML impact.

The company specializes in high-quality training and post-training data, reinforcement learning environments, and intelligent agents — serving both frontier AI labs and enterprise customers. Visa sponsorship is not available for this role.

What You'll Do

  • Build and optimize end-to-end ML pipelines, from data ingestion through to deployment.

  • Implement and fine-tune LLMs, embeddings, and generative models for real-world applications.

  • 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.

What We're Looking For

Required:

  • 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer.

  • Proficiency in Python and at least one major ML framework: PyTorch, TensorFlow, or JAX.

  • Strong grasp of ML fundamentals — data preprocessing, feature engineering, model training, and optimization.

  • Hands-on experience with distributed systems and cloud ML infrastructure (AWS, GCP, or Azure).

  • Familiarity with MLOps tooling such as Weights & Biases or MLflow.

  • Comfort working with large datasets and high-throughput systems.

  • Strong bias for action, ability to work autonomously, and genuine excitement about building from scratch.

Compensation & Benefits

  • Base salary: $220,000 – $300,000 USD annually

  • Equity participation as a founding team member

  • Opportunity to establish technical direction and culture at an early-stage, high-growth company

Location

  • On-site — Mountain View, California, United States

  • Visa sponsorship is not available for this position

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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