TL;DR

Principal Machine Learning Engineer (Content Relevance): Drive the development and optimization of personalized video recommendation systems with an accent on machine learning architecture, scalability, and performance. Focus on designing advanced ML models, leading technical initiatives, and collaborating cross-functionally to enhance content relevance at scale.

Location: Onsite in Bellevue, Los Angeles, Palo Alto, San Francisco, or Seattle, USA

Salary: $276,000-$414,000 annually depending on location and experience

Company

%hirify_global% is a technology company focused on camera-based communication and augmented reality products, serving hundreds of millions of users worldwide.

What you will do

Drive the technical roadmap and optimize personalized video recommendation systems
Design, implement, and scale ML architectures ensuring performance and reliability
Collaborate with cross-functional teams to align ML strategies with company goals
Stay current with ML technologies and apply innovative solutions to complex problems
Provide technical leadership and mentorship across the organization
Advocate best practices for scalability, availability, and cost management

Requirements

Must have 9+ years post-Bachelor’s ML experience or equivalent advanced degrees with relevant experience
2+ years technical leadership experience
Strong expertise in machine learning and deep learning for recommendation or ranking systems
Excellent programming and software design skills
Ability to solve ambiguous problems and lead complex technical initiatives
Must be able to work onsite in one of the specified US locations

Nice to have

Experience with TensorFlow, PyTorch, or related frameworks
Advanced degree in ML, computer vision, or mathematics
Experience working with global, cross-functional teams
Contributions to AI publications

Culture & Benefits

Inclusive and diverse work environment
Comprehensive medical coverage and paid parental leave
Emotional and mental health support programs
Equity in the form of RSUs
“Default together” policy requiring 4+ days per week onsite presence