Staff/Principal ML Engineer — Personalization at Scale

Tubitv; San Francisco (CA); Hybrid; USD 239,000 - 342,000; Full time

Benefits offered by this job

Flexible Time Off

Parental Leave Program

Monthly wellness reimbursement

Job summary

Tubitv is seeking an experienced Machine Learning Engineer to lead the design and implementation of innovative algorithms in video personalization. You will collaborate with cross-functional teams to deliver machine learning solutions that optimize recommendations and enhance user experience.

This role demands a strong background in machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch. Tubi offers a competitive salary and benefits package in high-cost labor markets like San Francisco.

Qualifications

• 8+ years of industry experience building production Machine Learning systems.
• Ability to design and implement advanced algorithms and systems.

Responsibilities

• Lead the design and implementation of advanced recommendation systems.
• Build and deploy ML pipelines for data extraction and model training.
• Monitor and optimize performance of deployed models.

Skills

Machine Learning

Deep Learning

TensorFlow

PyTorch

Statistical Analysis

Education

MSc or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, or a related field

Tools

Full-stack ML pipelines

Job description

Tubitv is seeking an experienced Machine Learning Engineer to lead the design and implementation of innovative algorithms in video personalization. You will collaborate with cross-functional teams to deliver machine learning solutions that optimize recommendations and enhance user experience.

This role demands a strong background in machine learning, including experience with deep learning frameworks like TensorFlow or PyTorch. Tubi offers a competitive salary and benefits package in high-cost labor markets like San Francisco.