Elevate your career at SandboxAQ as a Machine Learning Engineer, focusing on pioneering AI solutions in a hybrid work environment. Take ownership from data exploration to scalable model deployment.
In this key role on the AI Generation Engine (SAIGE) team, you will lead the entire ML lifecycle while collaborating with diverse experts in AI and engineering. You'll design robust data pipelines, develop novel ML models, and continuously refine algorithms to optimize performance. Your hands-on expertise will directly influence the success of product outcomes in real-world applications.
Key Responsibilities:
• Design and manage robust data pipelines for ML models
• Develop and rigorously test novel machine learning algorithms
• Engineer features from complex datasets to optimize performance
• Analyze model behavior, tuning parameters for efficiency
• Collaborate to translate business objectives into ML roadmaps
Requirements:
• BS in Software Engineering or Compute...