Who You Are

You're a production-focused ML engineer who bridges the gap between cutting-edge tech and scalable systems. Your expertise lies in building robust ML infrastructure that powers real-world applications at scale. You thrive in fast-paced environments where your technical decisions directly impact business outcomes and user experiences. Typically, your profile will look like this:

• Degree in Computer Science, Machine Learning, Mathematics, Engineering, or related technical field
• 3+ years of hands-on ML engineering experience building production systems at Big Tech companies, high-growth startups, or media/entertainment platforms
• Expert-level proficiency in Python, ML frameworks, and cloud platforms
• Extensive experience with MLOps tools and practices including Docker, Kubernetes, model versioning, and monitoring systems
• Proven track record deploying and scaling ML models in production environments with high availability requirements
• Self-directed approach with ability to architect complex systems independently while collaborating across technical teams
• You thrive in a fast-paced and performance-oriented environment
• Colleagues would describe you as hard-working, ambitious and persistent
• You're obsessed with music, video or social media