🛠 Tech Stack

💼 About This Role

You'll contribute to building search and recommendation systems that help students discover career opportunities. Your core impact will be developing and deploying ML models in a production environment. This is a paid internship with mentorship from experienced engineers.

🎯 What You'll Do

• Develop ML models to improve product features and user experience
• Contribute to experimentation, model evaluation, and performance monitoring
• Participate in technical discussions, brainstorming, and team reviews
• Document methodologies and findings for knowledge sharing

📋 Requirements

• Currently pursuing a Doctorate in Computer Science or related field
• Experience in supervised and/or unsupervised ML
• Strong Python programming skills with PyTorch or TensorFlow
• Familiarity with SQL and data analysis techniques

✨ Nice to Have

• Experience with cloud platforms (AWS, GCP, Azure)
• Exposure to Large Language Models or Reinforcement Learning
• Publications at leading conferences like SIGIR, KDD, WSDM, RecSys

🎁 Benefits & Perks

• 💰 Competitive hourly compensation
• 📚 Mentorship and hands-on learning
• 💻 5 days/week in-office
• 🤝 Structured intern programming and team events

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 15 min