about 19 hours ago
Base Salary
$174k - $299k/yr
Responsibilities
- Drive the execution of end-to-end data platform and data quality roadmap for ML efforts.
- Take ownership of core data logging, processing, and ML model training pipelines.
- Develop and scale data infrastructure for batch and real-time processing.
- Design and implement scalable ML-based ranking systems and online inference services.
- Build partnerships with Data Scientists, Analysts, and Engineers to meet offline and online needs.
- Research and select technical approaches for complex development problems and mentor other engineers.
Requirements
- Bachelor's degree in computer science, electrical engineering, mathematics, statistics, or related fields.
- 5 years of professional experience in applied machine learning.
- Experience in machine learning, deep learning, and statistical modeling.
- Proficiency in Python and/or Java with experience in production-grade ML systems.
Benefits
- Medical/Dental/Vision/Life, AD&D insurance.
- Flexible Spending Accounts (FSA) & Health Savings Account (HSA).
- Long-term/Short-term Disability.
- Employee Assistance Program (EAP).
- 401K Plan with Company Match.
- 18-21 days of Paid Time Off (PTO) based on tenure.
- 12 Public Holidays.
- Paid Parental leave.
- Pre-tax commuter benefits.
- Free Electric Car Charging Station.
Tech Stack
Apache AirflowApache HadoopApache HiveApache SparkAWSGoogle Cloud PlatformJavaPrestoPythonPyTorchScalaTensorFlow