Senior Machine Learning Engineer

📋 Description

• ML infrastructure: Build a platform for feature engineering, training, deployment, and serving
• Data analysis and feature engineering for multiple use cases
• Model training with batch and real-time predictions using various models
• Production operations: debugging, performance measurement, optimization on large clusters
• Collaborate with product managers, data scientists, and engineers
• Stay ahead by learning new ML technologies and trends

🎯 Requirements

• Bachelors, Masters, or PhD in CS, Statistics, or related field
• 5+ years applying ML to real-world use cases
• Proficient in Spark, Python, or Java
• Experience with real-time evaluation of models with low latency
• Distributed ML frameworks: Spark-MLlib, TensorFlow, etc.
• Experience with large-scale computing systems (Spark, Hive, Aerospike)

🎁 Benefits

• Hybrid work: office Mon-Thu; Fridays flexible remote
• Global mental health and financial wellness resources
• Healthcare, life, and disability options where available
• Retirement options (401(k)/pension)
• Generous time off and accommodations on request