Handshake
Machine Learning Engineer I, Network
About this role
Handshake is seeking a Machine Learning Engineer to build and optimize ML systems powering job search, recommendations, and user understanding on their platform. You'll work with retrieval and ranking models, embeddings, and experimentation systems while collaborating with experienced engineers and data scientists to deploy production solutions.
What you'll do
- Build and improve ML models for search, recommendations, notifications, and embeddings
- Develop, test, and deploy models and supporting services to production
- Work with large datasets to create features, train models, and evaluate performance
- Contribute to retrieval, ranking, personalization, and experimentation systems
- Monitor production models and improve quality, reliability, latency, and scalability
- Collaborate with product, engineering, and data science teams to translate business needs into ML solutions
What they're looking for
- Python programming
- ML frameworks (PyTorch, TensorFlow, scikit-learn)
- Production ML deployment
- Recommendations or search systems
- Feature engineering and model evaluation
- NLP or deep learning
- Data pipeline and experiment tracking
- Cross-functional collaboration
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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
- Describe your experience building and deploying machine learning models in production—what challenges did you face and how did you solve them?
- Tell us about a time you optimized a recommendation or ranking system—what metrics did you track and how did you measure success?