Machine Learning Engineer

TL;DR

Machine Learning Engineer (AI): Design and build production ML systems powering personalized recommendations, search, advertising, and content understanding at hirify.global with an accent on large-scale applied machine learning and LLM-driven experiences. Focus on designing scalable ML pipelines, deploying models, and improving system performance at internet scale.

Location: Remote within the United States

Salary: $185,800 - $303,400 USD

Company

hirify.global is a large internet community platform hosting over 100,000 active communities and 121 million daily active users, focused on authentic conversations and information sharing.

What you will do

• Design, build, and deploy production-grade machine learning models and systems at scale
• Own the full ML lifecycle from problem definition to deployment and monitoring
• Build scalable data and model pipelines with reliability and automated retraining
• Work with large-scale datasets to improve ranking, recommendations, search relevance, and optimization systems
• Collaborate cross-functionally with Product, Data Science, Infrastructure, and Engineering teams
• Research and apply state-of-the-art ML and AI techniques including deep learning and LLM evaluation

Requirements

• Must have 3-5+ years experience building and operating ML systems in production
• Strong programming skills in Python, Java, Go, or similar languages
• Experience with ML frameworks such as PyTorch and TensorFlow
• Ability to work remotely within the United States
• Strong grasp of ML algorithms from classical to deep learning architectures
• Experience designing scalable ML pipelines and model serving infrastructure

Nice to have

• Experience with recommender, search/ranking, advertising, or auction systems
• Familiarity with distributed systems and large-scale data processing tools (Spark, Kafka, Ray, Airflow)
• Experience with real-time systems and low-latency production environments
• Background in feature engineering, model optimization, and production monitoring
• Experience with LLM/Gen AI techniques including evaluation, alignment, and fine-tuning
• Advanced degree in Computer Science, Machine Learning, or related quantitative field

Culture & Benefits

• Comprehensive healthcare benefits and income replacement programs
• 401k plan with employer match
• Global benefit programs including workspace, professional development, and caregiving support
• Family planning and gender-affirming care support
• Mental health and coaching benefits
• Flexible vacation, paid volunteer time off, and generous parental leave