TL;DR

Senior Staff Machine Learning Engineer (Ads Targeting): Designing and implementing ML systems to improve ads targeting products with an accent on large-scale retrieval systems and deep learning models. Focus on leading research direction, building advanced ML architectures, and driving product impact through automation and relevance.

Location: Remote - United States

Salary: $266,000 - $372,400 USD

Company

%hirify_global% is a large online community platform hosting over 100,000 active communities and 116 million daily active users, focused on authentic conversations and user engagement.

What you will do

Own end-to-end design and execution of ML-based ads targeting products like auto targeting and user lookalikes
Lead research direction, technical roadmap, and day-to-day project execution
Collaborate with product managers and cross-functional teams to prioritize roadmap based on data and research
Research, implement, test, and launch new deep learning model architectures for retrieval
Mentor junior machine learning engineers and lead experimentation of ML models
Work on large-scale data systems and product integration with multiple stakeholders

Requirements

Must have tech lead experience in product ML teams driving research and technical direction
8+ years experience training, evaluating, and deploying ML models; 5+ years with Tensorflow/Pytorch
Experience with ads retrieval modeling, ranking, recommendation systems, and deep learning models (GNNs, transformers, LLMs)
Experience with large-scale data processing and pipeline orchestration tools like Spark, Dataflow, Kubeflow, Airflow, BigQuery
Strong collaboration skills with cross-functional stakeholders

Culture & Benefits

Comprehensive healthcare and income replacement programs
401k match and family planning support
Gender-affirming care and mental health benefits
Flexible vacation, global days off, and generous parental leave
Paid volunteer time off