Windmill is a workforce context and performance platform that builds a continuously updated 'context graph' of people, evidence, expectations and perspectives to power HR and performance reviews.
Windmill is building the future of performance. 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 http://gowindmill.com We're looking for candidates with experience in: 1. Model Development & Deployment: Design, build, and deploy scalable machine learning models to enhance product features, optimize performance, and drive intelligent automation. 2. Algorithm Optimization: Fine-tune and optimize machine learning algorithms to improve accuracy, efficiency, and real-time performance within the product environment. 3. 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 4. 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. 5. 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.