ML Engineer: Large-Scale Recs & Search (Hybrid)

TikTok; San Jose (CA); On-site; USD 118,657 - 187,200; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Paid parental leave

Paid time off

Job summary

A technology and entertainment company is looking for a Machine Learning Engineer to build and optimize large-scale recommendation systems. This role requires participation in algorithm design, user interest analysis, and model development using frameworks like TensorFlow or PyTorch. Preferred candidates will have strong programming skills and advanced degrees. The position offers a hybrid work schedule from San Jose, California, with a competitive salary range of $118,657 - $187,200 annually.

Qualifications

• Master's degree or higher in Computer Science or related field.
• Strong programming and problem-solving ability.
• PhD new grads or MS grads with 1-3 years of experience in applied machine learning.

Responsibilities

• Build large-scale recommendation or search algorithms and systems.
• Analyze large volumes of data to explore user interests.
• Design predictive models for candidate generation and ranking.

Skills

Programming expertise

Problem-solving ability

Understanding of machine learning algorithms

Experience with deep learning frameworks

Proficiency in Python or C++

Education

Master's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Job description

A technology and entertainment company is looking for a Machine Learning Engineer to build and optimize large-scale recommendation systems. This role requires participation in algorithm design, user interest analysis, and model development using frameworks like TensorFlow or PyTorch. Preferred candidates will have strong programming skills and advanced degrees. The position offers a hybrid work schedule from San Jose, California, with a competitive salary range of $118,657 - $187,200 annually.