Top Artificial Intelligence Jobs
As an ML Performance Engineer, you will build performance models and tooling for ML models, write libraries for efficient distributed training, and collaborate with hardware and software teams.
The Full Stack Engineer will develop server-side logic, maintain databases, enhance a video labeling tool, integrate systems, and implement automated testing for an AI product impacting the restaurant industry.
As a Research Engineer at Google DeepMind, you will focus on applying advanced machine learning models and conducting experiments to tackle real-world problems. Your role involves prototype development, model evaluation, and collaboration across teams to innovate solutions, particularly in areas like multimodal human understanding.
The Research Engineer will conduct product-driven research and apply advanced machine learning methods to real-world educational challenges. Responsibilities include developing benchmarks, training multimodal models, integrating them into products, and influencing technical strategy in a collaborative environment.
Featured Jobs
The Capture Manager will pursue new business development opportunities, build relationships with federal agencies, and oversee the writing of proposals. They will support strategic planning and collaborate with corporate teams to improve capture processes and articulate the value of the company's services.
As a Sr. Backend Engineer at Windfall, you will design and build scalable distributed systems for customer data processing. Collaborating with product and engineering teams, you will integrate complex customer data for segmentation tools and ensure seamless operation across backend services.
The Growth Marketing Manager will develop and execute customer acquisition strategies, optimizing performance marketing across digital and offline media. This role involves scaling advertising campaigns and enhancing customer experience through data-driven strategies, specifically in the fintech sector.
The Engineering Manager at Turing will oversee the development teams, ensuring the delivery of high-quality software solutions. This role involves facilitating collaboration among team members and stakeholders, enhancing productivity, and implementing best practices in software development. Additionally, the Engineering Manager will support the continued growth and development of team members.
The Sr. Computer Vision Engineer II will design and architect complex computer vision systems, prototype and test them using real-world data, work alongside platform engineers for production-level implementations, and oversee dataset management. The role requires debugging production processing and contributing to development processes and documentation.
The Platforms Associate Consultant at Curinos will help clients realize value from the Marketing Analyzer platform through data analysis, project management, and client support. Responsibilities include conducting client training sessions, managing project timelines, and gathering business requirements for implementations.
The Manager of Technical Client Success will oversee technical analysts, manage client data configurations, analyze large datasets for insights, and support software solutions to enhance client relationships and experiences. This role emphasizes communication of actionable data conclusions and efficient delivery of insights to clients, while also addressing product improvement opportunities.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
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