Layup
Machine Learning Engineer
Huntington Beach, CA$120k–$185kfull-timemidAdded today
About this role
We're seeking a Machine Learning Engineer to develop and deploy ML models that power our data-driven products. You'll collaborate with cross-functional teams to design scalable solutions, from experimentation through production deployment.
What you'll do
- Design, train, and validate machine learning models for production systems
- Collaborate with data scientists and engineers to translate business requirements into ML solutions
- Deploy and monitor models in production environments
- Optimize model performance and computational efficiency
- Conduct A/B testing and evaluate model impact on key metrics
- Maintain and improve data pipelines supporting ML workflows
What they're looking for
- Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
- Data preprocessing and feature engineering
- Model evaluation and validation techniques
- SQL and database querying
- Cloud platforms (AWS, GCP, or Azure)
- Git and version control
- Statistics and experimental design
- API development and integration
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Layup
Layup builds software and manufacturing solutions for composite parts production, serving aerospace, defense, and motorsports industries. The company is hiring tooling engineers, technical sales engineers, and software engineers to advance its composite manufacturing platform and production automation.
View all jobs at LayupLikely interview questions
- Tell us about a machine learning project you built end-to-end—what was the problem, your approach, and the results?
- How do you approach feature engineering, and can you share an example where feature selection significantly improved model performance?