🛠 Tech Stack

💼 About This Role

You'll join an ML team to build data pipelines and optimize search relevance at a US-based software company. You'll design scalable backend services in Java and Python and work with large-scale data processing using PySpark. This role combines backend development and big data engineering for production ML systems.

🎯 What You'll Do

• Design and maintain scalable backend services in Java and Python
• Build and optimize data pipelines with PySpark
• Collaborate with ML engineers on data preparation
• Improve system performance, scalability, and reliability

📋 Requirements

• 6+ years of commercial software development experience
• Strong experience with both Java and Python
• Solid experience with Spark / PySpark or similar frameworks
• Proven experience building data pipelines and working with large datasets

✨ Nice to Have

• Experience with search/relevance systems like Elasticsearch or semantic search
• Experience supporting ML workflows or feature engineering
• Experience with Databricks or similar environments

🎁 Benefits & Perks

• 📄 B2B contract with US office
• 🕒 NY working hours with at least 6 hours overlap

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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