Top Machine Learning Jobs
As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.
The Senior Machine Learning & Computer Vision Engineer will lead efforts in building computer vision models for 3D dental scans, develop ML models for generative AI tasks, and collaborate with teams to enhance product offerings using massive datasets. The role emphasizes establishing best practices in MLOps and delivering rapid value to customers.
As the Manager of Machine Learning at Upstart, you will lead a team focused on enhancing credit risk models for Small Dollar Lending products. Your role involves applying cutting-edge machine learning techniques, identifying new performance-enhancing variables, and ensuring the success of loan originations in this sector.
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The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.
As an AI and ML Consultant, you will lead and deliver AI/ML projects, enhancing customer experiences and operational efficiency for clients. This role involves consulting services, project management, and collaboration between technical and business teams, ensuring successful deployment of AI/ML solutions within an Agile framework.
The Senior Machine Learning Engineer at Workiva will deliver ML solutions by developing and integrating innovative features. Responsibilities include designing systems for rapid ML development, developing APIs, maintaining ML infrastructure, mentoring team members, and collaborating with product teams. The role requires problem analysis for service stability and engagement with support teams among other duties.
The Machine Learning Engineer will design and implement machine learning models and architecture to support Generative AI, manage large data sets, and support data-informed decision-making within the organization. They will lead projects and engage with stakeholders to drive knowledge and adoption of data science.
The Machine Learning Engineer will design, implement, and evaluate Computer Vision and ML algorithms, focusing on object detection and tracking, while writing C++ for various environments including embedded Linux devices and cloud servers.
The Director of Machine Learning Operations will lead the ML Ops team to develop, implement, and oversee machine learning strategies. Responsibilities include managing ML infrastructure, deploying models, ensuring performance and scalability, and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.
As a Senior Machine Learning Engineer, you will lead the design and implementation of ML strategies, mentor engineers, and drive the development of scalable machine learning algorithms across products at Personio. This role requires collaboration with cross-functional teams and the ability to analyze technical problems while ensuring coding standards are maintained.
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