ML Engineer — Build Production-Grade Models & Pipelines

Clera Labs, Inc.; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Clera Labs, Inc. is seeking a Machine Learning Engineer to design, build, and deploy ML systems powering our core product in a fast-moving startup environment.

You will own the full ML lifecycle—from problem definition through production monitoring—working closely with product, engineering, and domain experts to ship models that drive real business impact. You will design, train, and evaluate production-ready models, implement end-to-end ML pipelines, and collaborate across teams to translate

Qualifications

• 3+ years of professional experience in machine learning or software engineering.
• Strong fundamentals in machine learning, including model selection, evaluation, feature engineering, and validation.
• Experience with end-to-end ML pipelines, including data preprocessing, model serving, and monitoring.

Responsibilities

• Design, train, and evaluate machine learning models for production use cases.
• Implement end-to-end ML pipelines from data preprocessing to model serving and monitoring.
• Collaborate with product and engineering teams to translate business requirements into ML solutions.
• Debug and optimize model performance in production, iterating based on real-world feedback.
• Write clean, maintainable code and contribute to ML infrastructure and tooling.
• Participate in code reviews and share knowledge with the broader team.

Skills

ML fundamentals

Model evaluation

Ambiguity tolerance

Tools

Python

TensorFlow

PyTorch

scikit-learn

AWS SageMaker

GCP Vertex AI

Kubernetes

Docker

Job description

Clera Labs, Inc. is seeking a Machine Learning Engineer to design, build, and deploy ML systems powering our core product in a fast-moving startup environment.

You will own the full ML lifecycle—from problem definition through production monitoring—working closely with product, engineering, and domain experts to ship models that drive real business impact. You will design, train, and evaluate production-ready models, implement end-to-end ML pipelines, and collaborate across teams to translate