ML Engineer - Recommender Systems (Entry Level)

YouTube; San Francisco (CA); On-site; USD 80,000 - 100,000; Full time

Job summary

A leading video platform is hiring an entry-level Machine Learning Engineer in San Francisco. In this full-time role, you will work on recommendation systems to improve user experience. Candidates should have a strong foundation in Computer Science and be proficient in machine learning. Excellent problem-solving and communication skills are essential, as well as the ability to work collaboratively in a team-oriented environment.

Qualifications

• Strong foundation in Computer Science and Algorithms.
• Internship experience is a big plus.

Responsibilities

• Work on recommendation systems in YouTube.

Skills

Computer Science fundamentals

Proficiency in machine learning

Problem-solving skills

Collaboration skills

Communication skills

Job description

A leading video platform is hiring an entry-level Machine Learning Engineer in San Francisco. In this full-time role, you will work on recommendation systems to improve user experience. Candidates should have a strong foundation in Computer Science and be proficient in machine learning. Excellent problem-solving and communication skills are essential, as well as the ability to work collaboratively in a team-oriented environment.