ML Engineer

Other

• Windmill is the first context graph for your people: a continuous, cited understanding of your workforce so HR can lead strategically, managers can see their teams clearly, and every person's work speaks for itself.
• Learn more: gowindmill.com
• Model Development & Deployment : Design, build, and deploy scalable machine learning models to enhance product features, optimize performance, and drive intelligent automation.
• Algorithm Optimization : Fine-tune and optimize machine learning algorithms to improve accuracy, efficiency, and real-time performance within the product environment.
• Cross-Functional Collaboration : Work closely with data scientists, software engineers, and founders to integrate machine learning solutions that solve complex product challenges for our users
• Scalable Infrastructure : Develop and maintain robust machine learning pipelines and data infrastructure, ensuring the models can efficiently handle large-scale data processing and deployment needs.
• Continuous Learning & Innovation : Stay up-to-date with the latest research in machine learning, artificial intelligence, and data science to identify opportunities for applying cutting-edge techniques that drive product innovation.
• Note: We're a New York based company, and want our team working together in the office. If you're not interested in considering relocation to New York, this may not be the right opportunity.