Senior Machine Learning Engineer

About the Role

Join our core ML team to design and build production machine learning systems that power Quiant Neural. You'll work on large-scale predictive models, real-time inference pipelines, and cutting-edge deep learning architectures.

Responsibilities

• Design and implement production ML models for enterprise analytics
• Build and optimize real-time inference pipelines processing millions of predictions daily
• Collaborate with product teams to translate business requirements into ML solutions
• Mentor junior engineers and contribute to engineering best practices
• Research and evaluate new ML techniques for potential integration

Requirements

• 5+ years of experience in machine learning engineering
• Strong proficiency in Python, PyTorch or TensorFlow
• Experience with MLOps tools (MLflow, Kubeflow, or similar)
• Deep understanding of statistical modeling and deep learning
• Experience deploying ML models at scale in production
• MS or PhD in Computer Science, Machine Learning, or related field

Benefits

• Competitive salary ($180K-$250K) + equity
• Comprehensive health, dental, and vision insurance
• Unlimited PTO with minimum 4 weeks encouraged
• $5,000 annual learning and development budget
• Home office setup stipend
• Quarterly team retreats