Machine Learning Engineer – Mid-Level

Job overview

The Machine Learning Engineer – Mid-Level role is onsite in San Francisco, CA. Compensation starts at $140,000 per year. The role builds production machine learning systems for Clera’s AI-powered recruiting platform. Working across the machine learning lifecycle with product and engineering, the engineer turns business needs into reliable models and features. The work includes developing and operating models and pipelines, then using real-world feedback to monitor and improve production performance.

What you'll do

• Design, train, and evaluate machine learning models for production use cases
• build end-to-end ML pipelines from data preprocessing through model serving and monitoring
• collaborate with product and engineering teams on business needs
• monitor, debug, and optimize production model performance using real-world feedback
• write maintainable code and contribute to ML infrastructure and tooling
• participate in code reviews and share knowledge with teammates.

What we're looking for

Skills & competencies

machine learning engineer

mid-level

san francisco ca

clera

full-time

$140k+

python

tensorflow

pytorch

scikit-learn

production ml

mlops

model monitoring

ai recruiting platform

Work arrangement

• Weekend coverage required

Why this role

The posting seeks at least three years of professional machine learning or software engineering experience, including production ML work, and a completed degree. It lists Python, TensorFlow, PyTorch or scikit-learn, production pipelines, MLOps, and cloud tools among qualifications.

About the employer

Clera is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.