ML Engineer

ML Engineer Windmill is building the future of performance. Windmill is the first performance review system people actually like. It uses AI to remember every 1:1, project milestone, and piece of feedback automatically so reviews take minutes, not days. Managers feel prepared, employees feel seen, and HR teams finally have a process everyone appreciates. On average, reviews take 6 hours less per person, and 93% of employees report being satisfied with the process. 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.