about 11 hours ago
Responsibilities
- Build a machine learning platform managing the entire model lifecycle.
- Identify and generate features for multiple use cases and models.
- Develop and evaluate algorithms using machine learning techniques.
- Perform low-level systems debugging and optimization on production clusters.
- Collaborate with product managers, data scientists, and engineers.
- Continuously learn and adapt to emerging technologies and trends.
Requirements
- Bachelor's, Master's, or PhD in Computer Science, Statistics, or a related field.
- 5 years of experience in applied machine learning.
- Proficient coding skills in Spark, Python, or Java.
- Familiarity with real-time model evaluation and low latency constraints.
- Experience with distributed ML frameworks like Spark-MLlib or TensorFlow.
- Ability to work with large scale computing frameworks and data analysis systems.
- Ad Tech experience is preferred.
Benefits
- Comprehensive benefits including mental health and financial wellness support.
- Healthcare options including medical, dental, and vision.
- Retirement options such as 401(k)/pension.
- Support for taking time off according to local leave policies.
Tech Stack
Categories
AI & MLData Science