Mid-Level Machine Learning Engineer

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Mid-Level Machine Learning Engineer in USA new

Clera
Full time
Email

USA
10/31/2026
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San Francisco, CA

Responsibilities

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

Requirements

Completed university degree.
At least three years of professional experience in machine learning or software engineering, including post-graduation employment.
Hands-on experience building and deploying production ML systems in an ML engineering role at a startup or fast-moving product company.
Strong understanding of model selection, evaluation metrics, feature engineering, and validation techniques.
Proficiency in Python and hands-on experience with TensorFlow, PyTorch, or scikit-learn.
Experience maintaining production ML pipelines, including preprocessing, model serving, and monitoring at scale.
Experience with MLOps tools or cloud platforms such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.
Experience with production A/B testing or experimentation and optimizing models based on observed performance.
Comfort working through ambiguity and iterating quickly in a product environment.

Benefits

On-site work in San Francisco, California, United States.

Clera

Clera harnesses the power of artificial intelligence to match high-growth startups with exceptional talent, streamlining the entire headhunting process. This innovative approach simplifies the job search for candidates while providing startups with access to a curated pool of skilled professional...

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