Clera
Machine Learning Engineer (Mid-Level)
About this role
Mid-level ML Engineer to design, build, and deploy production machine learning systems in a fast-paced startup environment. You'll own the full ML lifecycle from data preprocessing through model serving and monitoring while collaborating closely with product and engineering teams.
What you'll do
- Design, train, and evaluate ML models for production use cases
- Build end-to-end ML pipelines including data preprocessing, model training, serving, and monitoring
- Translate business requirements into ML solutions with product and engineering teams
- Debug, optimize, and iterate on model performance based on production feedback
- Write maintainable code and contribute to ML infrastructure and tooling
- Participate in code reviews and share knowledge across the team
What they're looking for
- Python programming
- Machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
- Feature engineering and model evaluation
- MLOps and ML infrastructure
- Data pipelines and cloud ML platforms
- A/B testing and model monitoring
- Container technologies and deployment
- Production ML systems
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Clera
Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.
View all jobs at CleraLikely interview questions
- Walk us through a production ML system you built end-to-end—what were the biggest challenges you faced?
- How do you approach feature engineering and validation for a new model?