🛠 Tech Stack

💼 About This Role

You'll design and build end-to-end machine learning solutions for 1-to-1 personalization at a leading customer engagement platform. You'll own the full ML pipeline from raw data through model training to activation, driving measurable outcomes for global brands. This role offers deep collaboration with product teams to shape AI strategy.

🎯 What You'll Do

• Design ML use cases from the ground up scoping for real business value
• Build and own the full ML pipeline from raw data to activation
• Drive customer success with ongoing technical guidance
• Extend product capabilities by developing features and tools

📋 Requirements

• Bachelor’s degree in Computer Science, Data Science, or related field
• 3–5+ years hands-on experience as a Data Scientist or ML Engineer
• Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn)
• Skilled in SQL for querying and manipulating datasets

✨ Nice to Have

• Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP)
• Experience with reinforcement learning algorithms
• Customer-facing or consulting experience

🎁 Benefits & Perks

• 💵 Competitive compensation including equity RSUs
• ⏳ Flexible paid time off
• 🏥 Comprehensive benefits (medical, dental, vision, life, disability)
• 👶 Family services including fertility benefits and equal paid parental leave
• 📚 Professional development with yearly learning stipend

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min