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CleraPosted Nov 14, 2026
Mid-Level Machine Learning Engineer
San Francisco, United Statesfull timeOn Sitemid$140kH1B: no
Clera The Mid-Level Machine Learning Engineer at Clera will design, train, and evaluate machine learning models and build end-to-end ML pipelines. This role includes debugging production models and contributing to ML infrastructure and tooling.
Responsibilities
- Build and operate production machine learning systems at an early-stage AI recruiting and talent technology company. You will own work across the ML lifecycle, partnering with product, engineering, and domain experts to deliver models that support the core product.
- Design, train, and evaluate machine learning models for production use cases.
- Build end-to-end ML pipelines, including data preprocessing, model serving, and monitoring.
- Partner with product and engineering teams to turn business needs into ML solutions.
- Debug and improve production model performance using monitoring and real-world feedback.
- Write maintainable code and contribute to ML infrastructure and tooling.
- Participate in code reviews and share knowledge with teammates.
Qualification
Strong ML fundamentalsBackground in a startup or fast-moving
Required
- At least 3 years of professional machine learning or software engineering experience, including building and deploying production ML systems.
- Strong ML fundamentals, including model selection, evaluation, feature engineering, and validation.
- Proficiency in Python and hands-on experience with TensorFlow, PyTorch, or scikit-learn.
- Experience implementing end-to-end ML pipelines and maintaining deployed systems at scale.
- Familiarity with MLOps and cloud platforms or tools such as AWS SageMaker, GCP Vertex AI, Kubernetes, or Docker.
- Experience with production A/B testing or experimentation, and debugging models based on operational feedback.
Company
Clera
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