🛠 Tech Stack

💼 About This Role

You'll provide technical leadership for search and recommender systems at a retail data science company. You'll drive the science strategy for personalization and content discovery, leveraging large-scale customer data. This role combines applied ML with agentic capabilities and cross-functional influence.

🎯 What You'll Do

• Own technical initiatives across search and recommender systems.
• Design and build ML solutions for grocery retail domain.
• Establish rigorous evaluation methodologies for ML systems.
• Partner with engineering to deploy production-ready ML systems.

📋 Requirements

• 6+ years of experience applying ML to real-world problems with search and recommender systems.
• Strong proficiency in Python and SQL with large-scale data tools like Spark.
• Experience with PyTorch or TensorFlow deep learning frameworks.
• Strong foundation in statistics, experimentation, and A/B testing.

✨ Nice to Have

• Familiarity with large language models and GenAI solutions.
• Experience with cloud platforms such as GCP or Azure.
• Experience in retail, e-commerce, or high-scale consumer domains.

🎁 Benefits & Perks

• 💡 Impact millions with personalized recommendations.
• 📚 Continuous learning with resources and support.
• 🏢 5-day in-office schedule for collaboration.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Phone Interview· 60 min
3. 3On-site Interviews· 4 hours