Yelp Content Moderator Job, Yelp Remote Job @ privatejobsmumbai ( Senior Software Engineer )

Company Name: Yelp

Job Name: Senior Software Engineer

Salary: 30K COP – 50K COP/Hour

Qualification: Bachelor Degree

Location: Atlántico Department, Colombia

Yelp Content Moderator Job, Yelp Remote Job

DESCRIPTION:

Yelp’s engineering culture guides our values: we are a collaborative team that values individual authenticity and encourages creative problem solving. All new engineers deploy code within their first week, and we strive to expand each individual’s impact with support from managers, mentors and team members. Ultimately, our goal is to help our employees, grow as engineers, and have fun in a social environment.

Are you interested in machine learning techniques that create advanced, high-quality solutions for automated decision making?

Want to help local businesses grow and succeed?

The Yelp media team works on large, complex, multidisciplinary problems related to machine learning, data processing and algorithms, optimization, statistics and distributed systems, with the goal of creating health and value among consumers and the media. As a Senior Software Engineer (Machine Learning) within the Advertising team, you will be part of a team focused on optimizing the allocation of advertising budgets across multiple channels.

This opportunity requires you to be in Germany. We would love for you to apply, even if you don’t think you meet all the requirements for this position. At Yelp, we’re looking for great people, not just people who tick all the boxes.

What to do:

Add in production planning based on machine learning, statistical models and optimization developed by data scientists.
Develop and maintain reliable, scalable and scalable solutions. Partner with our ML Platform team to ensure your team and team are using Yelp’s ML tools efficiently and based on best practices.
Help shape the future of ML on Yelp by providing valuable feedback and contributing to tool improvements. Manage and direct software development projects.
Act as a bridge between applied and data scientists (who may not have experience building scalable systems) and back-end engineers (who may not have experience with ML or computational model-based systems and subtraction/statistics).

What it takes to be successful:

A few years of experience delivering machine learning, statistical, or category-based optimization services, consistent with the Yelp scale.
Expert in Python (including pandas, NumPy, scikit-learn, XGBoost), with experience in Spark, cloud (AWS) and microservices (Docker, Kubernetes). Adequate knowledge of machine learning and modeling to understand applied science projects, but deep theoretical knowledge is not expected.
Your ability to thrive in a fast-paced, high-impact environment.