Principal Software Engineer, Machine Learning Modeler - Remote

Overview

The Principal Software Engineer will work on machine learning models and features to enhance Slack's product offerings, focusing on delivering business value through innovative AI solutions.

In Short

• Develop ML models for ranking, retrieval, and generative AI use-cases.
• Collaborate with Product Managers, Designers, and Engineers to build new features.
• Lead multi-functional projects with significant business impact.
• Own features or systems, ensuring their long-term health.
• Support development of data collection pipelines and ML feature management.
• Triage and resolve production issues with support and operations teams.
• Mentor engineers and review code for quality.
• Improve engineering standards, tooling, and processes.
• Work with various programming languages and ML frameworks.
• Drive impact through machine learning across the organization.

Requirements

• Experience with programming languages: PHP, Python, Ruby, Go, C, Scala, Java.
• Familiarity with ML frameworks: PyTorch, TensorFlow, Keras, XGBoost.
• Experience building data processing pipelines with tools like Apache Spark.
• Knowledge of generative AI applications and fine-tuning LLMs.
• Strong analytical and data-driven mindset.
• Experience deploying ML models at scale.
• Ability to write maintainable and testable code.
• Strong communication skills for explaining technical concepts.
• Solid understanding of computer science fundamentals.
• A related technical degree is required.

Benefits

• Competitive salary and benefits package.
• Opportunity to work with a large user base.
• Collaborative and inclusive work environment.
• Support for professional development and career growth.
• Flexible work arrangements with some in-office expectations.