Software Engineer II, Machine Learning (AI)

Location: Toronto, Canada

Salary: CAD 130,300–179,200 annually base salary, excluding bonuses, equity, and benefits.

Company

hirify.global is a collaboration product within Salesforce, serving more than 10 million daily active users and processing up to one million messages per minute.

What you will do

• Develop machine learning models for ranking, retrieval, and generative AI use cases.
• Build features, services, API methods, data pipelines, and ML feature management systems.
• Lead or substantially contribute to large cross-functional projects with significant business impact.
• Own the long-term health of features and systems, improving reliability and engineering standards.
• Support production incident triage and resolution with support and operations teams.
• Mentor engineers, review code, and contribute to technical architecture decisions.

Requirements

• Experience with PHP, Python, Ruby, Go, C, Scala, or Java.
• Experience with machine learning frameworks such as PyTorch, TensorFlow, Keras, XGBoost, or scikit-learn.
• Experience building batch data pipelines using tools such as Apache Spark, Hadoop, EMR, MapReduce, Airflow, Dagster, or Luigi.
• Experience fine-tuning LLMs or BERT models and deploying machine learning models or data-derived artifacts at scale.
• Strong foundations in data structures, algorithms, distributed systems, programming languages, and information retrieval.
• Bachelor’s degree in computer science, engineering, statistics, mathematics, or a related field, or equivalent training or experience.

Nice to have

• Expertise in conversational agentic systems, retrieval systems, or search algorithms.
• Familiarity with vector databases, embeddings, RAG solutions, and knowledge graphs.
• Broad experience across NLP, machine learning, and generative AI.

Culture & Benefits

• Benefits and resources are designed to support balance and personal well-being.
• Salesforce promotes an inclusive workplace and equal employment opportunity.
• AI tools may assist with recruiting assessments, while hiring decisions remain human-led.
• Compensation may also include bonuses, equity, and benefits in addition to base salary.