Machine Learning Engineer Focused on AI Systems
Summary
Build and deploy reinforcement-learning and AI systems that power Upwork’s platform, focusing on scalable architectures and robust production deployment.
Step up as a Machine Learning Engineer at Upwork, where you'll develop cutting-edge AI and reinforcement learning systems. Drive transformative changes with advanced technologies across our platform.
In this role, you'll be integral to the Algorithms and Research team, designing and implementing reinforcement learning and planning systems. Collaborating with multiple teams, you will ensure that ML models transition smoothly to production, focusing on performance and robustness while mentoring peers. Your expertise will directly impact the efficiency and reliability of Upwork's AI solutions.
Key Responsibilities:
• Design and enhance reinforcement learning systems for application
• Create scalable architectures integrating various data types
• Lead the transition of ML research to reliable production
• Collaborate to improve systems explainability and risk plans
• Investigate new developments in reinforcement learning
Requirements:
• Proven experience with deploying production ML systems
• Strong skills with vector databases and knowledge graphs
• Experience leading projects across technical teams
• Knowledge of AI development and debugging tools
• Passion for innovative AI and agent systems
Join Upwork to push the boundaries of ML and AI in meaningful ways.