ML Engineer: Build Production Models & Pipelines

Clera Labs, Inc.; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Clera Labs, Inc. in San Francisco is seeking an ML Engineer to own the full ML lifecycle, from problem framing to production monitoring. You will partner with product, engineering, and domain experts to deliver impactful ML outcomes.

Responsibilities include designing and deploying models, building end-to-end pipelines, and improving production performance with real-world feedback. Strong Python and ML framework experience required.

Qualifications

• Completed university degree in a relevant field.
• 3+ years of professional experience in ML or software engineering.
• Hands-on experience building production ML systems in a startup/rapid team.
• Strong understanding of model selection, evaluation, and feature engineering.

Responsibilities

• Design, train, and evaluate machine learning models for production use cases.
• Build end-to-end ML pipelines including data preprocessing, serving, and monitoring.
• Collaborate with product and engineering to translate business needs into ML solutions.
• Debug and improve production model performance using monitoring data.
• Write maintainable code and contribute to ML infrastructure and tooling.
• Participate in code reviews and share knowledge with teammates.

Skills

Python

ML engineering

Production ML

A/B testing

Ambiguity tolerance

Education

Bachelor's degree in CS/Math/Related

Tools

TensorFlow

PyTorch

scikit-learn

AWS SageMaker

Docker

Kubernetes

Job description

Clera Labs, Inc. in San Francisco is seeking an ML Engineer to own the full ML lifecycle, from problem framing to production monitoring. You will partner with product, engineering, and domain experts to deliver impactful ML outcomes.

Responsibilities include designing and deploying models, building end-to-end pipelines, and improving production performance with real-world feedback. Strong Python and ML framework experience required.