Clera
Machine Learning Engineer
About this role
A mid-level Machine Learning Engineer role at an AI-powered recruitment startup focused on building matching and recommendation systems. You'll design ML models that connect candidates with job opportunities, work across the full ML lifecycle, and directly impact thousands of job seekers and hiring teams.
What you'll do
- Design and iterate on ML models for candidate-to-role matching and personalization
- Develop and maintain data pipelines for model training, evaluation, and deployment
- Monitor production model performance and drive continuous improvements
- Collaborate with the founding team to translate product goals into scalable ML solutions
- Research and experiment with new AI techniques for talent matching and NLP
- Contribute to end-to-end ML lifecycle from data preparation to model monitoring
What they're looking for
- Machine learning engineering and model development
- PyTorch or TensorFlow
- Natural language processing (NLP)
- Data pipeline development
- Production ML deployment and monitoring
- Statistics and quantitative analysis
- Computer science fundamentals
- Full ML lifecycle management
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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 machine learning model you built end-to-end, from data preparation through production deployment and monitoring.
- How would you approach building a candidate-to-job matching system, and what metrics would you use to evaluate its performance?