Join our dynamic Engineering team and work alongside a highly skilled machine learning/data science team dedicated to developing consumer insights. We are seeking an experienced Machine Learning Engineer who is passionate about working on cutting-edge ML and AI projects at internet scale and speed.

As a Machine Learning Engineer, you will work closely with our Data Scientists and Software Engineers to design, implement, and optimize ML feature pipelines in service of model training and scoring. You will also analyze large and complex data sets to derive valuable insights, inform feature and product development, and design distributed systems.

Key Responsibilities:

• Design, implement, and optimize ML feature pipelines in service of model training and scoring
• Monitor and ensure the quality of machine learning solutions by implementing process and control disciplines as well as tooling to govern
• Analyze large and complex data sets to derive valuable insights, inform feature and product development
• Apply machine learning and data science techniques and design distributed systems

Qualifications & Experience Requirements:

• Strong Software Engineering background with emphasis in data science and machine learning
• Fluent in Python, TensorFlow, Pandas, Numpy, PyTest
• Experience with Scala/Spark for large scale data transformation (ETL)
• Strong communication skills including the ability to describe complex models and findings to different audiences and stakeholders
• Demonstrated exploratory analysis and visualization abilities in a non-academic setting
• Strong bias for action and ability to pivot quickly and act with agility according to the needs of the business
• Working knowledge of machine learning frameworks and the data and computation management mechanisms that surround them in a cloud environment (AWS)
• Experience designing, implementing, and transitioning to AI/ML cloud-based frameworks, specifically Amazon SageMaker
• Experience using Amazon EMR for ETL pipelines
• Experience implementing quality and control disciplines for Machine Learning pipelines through process and tooling
• Ability to handle multiple projects simultaneously, meet deadlines, and effectively manage priorities and communicate progress
• Fluent in Linux based systems, Docker, and code versioning tooling (Git/CI/CD)
• Minimum of 2 years ML experience and 3 years of overall software development experience
• Computer Science or equivalent degree and work experience

If you have a passion for machine learning and data science, possess strong software engineering skills, and are looking to work on innovative projects at internet scale and speed, we want to hear from you!