Senior Software Engineer, Machine Learning (Safety)

TL;DR

Senior Software Engineer, Machine Learning (Safety): Building and deploying machine learning models that help keep hirify.global users safe, including real-time and batch systems for content understanding, risk evaluation, and account integrity with an accent on designing and delivering effective ML solutions. Focus on deploying models into production systems, ensuring scalability and reliability, and monitoring performance.

Location: San Francisco, CA

Salary: $220,000 to $247,500

Company

hirify.global is a multiplatform platform that helps people deepen their friendships around games and shared interests.

What you will do

• Analyze data to identify risk patterns and inform the design of machine learning models.
• Build, iterate on, and evaluate models that detect risk and anomalous behavior.
• Deliver effective ML solutions, working with product, engineering, legal, and Trust and Safety partners.
• Curate golden label sets at scale and improve data labeling techniques for model training, working with partner teams in Trust & Safety.
• Deploy models into production systems, writing backend code as needed to ensure scalability and reliability, and monitor performance.
• Document modeling approaches and systems, and apply current machine learning best practices.

Requirements

• 4+ years of experience in ML engineering or applied ML roles.
• Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow.
• Experience building performant machine learning systems at scale and have driven the execution of projects from ideation to production.
• Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions.
• Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams.
• Bachelor’s or Master’s degree in Computer Science, Machine Learning, Statistics, or a related field (Physics, Math, Operations Research, etc.

Culture & Benefits

• Multiplatform, multigenerational and multiplayer platform.
• Helps people deepen their friendships around games and shared interests.
• Reasonable accommodations during the interview process.