Machine Learning Engineer – Ranking & Recommendations

Location:

Multiple locations including New York, Seattle, San Francisco, and Sunnyvale.

Compensation:

The base salary range for this role is USD$171,000 - USD$190,000 per year.

Responsibilities:

1. Design and build Machine Learning models in Ranking and Recommendation domain.
2. Productionize and deploy these models for real-world application.
3. Review code and designs of teammates, providing constructive feedback.
4. Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.

Basic Qualifications:

• Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, with 4+ years of full-time engineering experience.
• 2+ years of experience building and deploying machine learning models (or a PhD in a relevant field).
• Expertise in one or more object-oriented programming languages (e.g. Python, Go, Java, C++).
• Experience with big-data architecture, ETL frameworks and platforms, such as HDFS, Hive, MapReduce, Spark, etc.
• Working knowledge of latest ML technologies, and libraries, such as PyTorch, TensorFlow, Ray, etc.

Preferred Qualifications:

• Experience with building ranking and recommendation systems in production.
• Experience with design and architecture of ML systems and workflows.
• Experience owning and delivering a technically challenging, multi-quarter project end to end.