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Clera

Founding Machine Learning Engineer

Clera · $220K–$300K/yr

Technology, Information and Internet · 2-10 employees

20 h ago
Senior (5-10 yrs) Full-time
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About the role

You will build and optimize end-to-end machine learning pipelines and develop efficient training and inference systems for large-scale models. Additionally, you will partner with product teams to translate technical concepts into measurable impact while establishing best practices for model scalability and reproducibility.

What they look for

Python PyTorch TensorFlow JAX Machine Learning LLMs Generative Models Distributed Systems Cloud ML Infrastructure AWS GCP Azure MLOps Weights & Biases MLflow Data Engineering

Requirements

Candidates must have 3–10 years of experience as an ML Engineer or Applied Scientist with proficiency in Python and major ML frameworks. Strong expertise in distributed systems, cloud infrastructure, and MLOps tooling is required to support the development of high-throughput AI systems.

Benefits

Equity participation Founding team member status Technical leadership opportunity

Full 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