ML Engineer
AI Summary
Windmill seeks a machine learning engineer to design, build, and deploy scalable ML models, optimize algorithms, and maintain ML pipelines for large-scale data processing and deployment.
About this role
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
We're looking for candidates with experience in:
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.
