Machine Learning Engineer (AI)

TL;DR

Machine Learning Engineer (AI): Designing and building production-grade ML systems for discovery, relevance, and monetization with an accent on personalized recommendations, search ranking, and advertising systems. Focus on end-to-end ML lifecycle ownership, scaling data pipelines, and integrating LLM-driven experiences at internet scale.

Location: Remote (Ontario, Canada)

Company

hirify.global is a massive community-driven platform where users engage in authentic conversations across over 100,000 active communities.

What you will do

• Design, build, and deploy production ML models for recommendations, search, and ranking systems.
• Own the full ML lifecycle, from problem definition and feature engineering to training, deployment, and monitoring.
• Develop scalable data pipelines, model serving infrastructure, and real-time decision systems.
• Collaborate cross-functionally with Product, Data Science, and Engineering teams to solve complex business problems.
• Research and apply state-of-the-art AI techniques, including deep learning, transformers, and LLM alignment.
• Contribute to the technical strategy and long-term ML roadmap for Consumer and Ads organizations.

Requirements

• 3-5+ years of experience building and operating ML systems in production.
• Strong programming skills in Python, Java, or Go with solid software engineering fundamentals.
• Deep understanding of ML algorithms, ranging from statistical learning (XGBoost) to DL architectures (Transformers, CNNs, GNNs).
• Hands-on experience with modern ML frameworks such as PyTorch or TensorFlow.
• Experience designing scalable ML pipelines and model serving infrastructure.
• Must be based in Ontario, Canada.

Nice to have

• Experience with recommender systems, auction systems, or multimodal embedding systems.
• Familiarity with distributed systems and data processing tools like Spark, Kafka, Ray, Airflow, or BigQuery.
• Expertise in GenAI/LLM techniques, including fine-tuning, RAG, agentic systems, and knowledge distillation.
• Advanced degree in Computer Science, Machine Learning, or a related quantitative field.

Culture & Benefits

• Comprehensive healthcare benefits and income replacement programs.
• 401k with employer match.
• Flexible vacation and paid volunteer time off.
• Generous paid parental leave and family planning support.
• Mental health, coaching, and gender-affirming care benefits.