Handshake
Machine Learning Engineer I, Network
About this role
Handshake is seeking a Machine Learning Engineer to develop and improve ML systems powering job search, recommendations, and personalized experiences on their career platform. You'll work with retrieval and ranking models, embeddings, and emerging techniques to connect students with relevant opportunities while maintaining responsible AI practices.
What you'll do
- Build and improve ML models for search, recommendations, notifications, and embeddings
- Develop, test, and deploy models and services in production environments
- Create features, train models, and evaluate performance using large datasets
- Monitor production models and optimize for quality, reliability, latency, and scalability
- Partner with product, engineering, and data science teams to translate business needs into ML solutions
- Conduct experiments and use marketplace metrics to measure impact of work
What they're looking for
- Python programming
- ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Production ML deployment
- Search and ranking systems
- Recommendation systems
- Feature engineering and model evaluation
- NLP or deep learning
- Data pipeline and experiment tracking
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Handshake
Handshake is a platform that connects students and job seekers with employers through job discovery and matching. The company is hiring iOS engineers, machine learning engineers, AI software engineers, and AI domain experts to build personalization systems, mobile experiences, and production AI solutions for both consumer and enterprise customers.
- Website
- handshake.com
Likely interview questions
- Tell us about a machine learning model you built and deployed to production—what were the key challenges and how did you measure success?
- How have you approached feature engineering for large-scale datasets, and what tradeoffs did you consider?