Top Hybrid Machine Learning Jobs
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The Enterprise Architect - Machine Learning will lead the design, development, and implementation of AI solutions at Ibotta, collaborating with teams to address business problems, maintain architecture, and mentor others. The role emphasizes innovation in AI strategy, model development, and the selection of appropriate technologies while upholding ethical guidelines.
As a Senior Machine Learning Engineer in the Banking team at Cash App, you will develop and maintain machine learning systems to combat fraud in banking products. Your responsibilities will include designing ML pipelines, creating training platforms for models, and applying best practices to enhance ML solutions.
The Senior Machine Learning Engineer will create end-to-end AI and machine learning solutions, collaborating with stakeholders to define project requirements, gather data, and deploy models into production. Responsibilities include analyzing data for insights, managing projects from start to finish, and staying updated on industry trends to drive innovation.
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The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.
As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.
As an Application Engineer, you will oversee design and implementation of assigned products, manage risks, analyze and deploy new user stories, guide junior engineers, and enforce IT standards. Collaboration with various stakeholders is crucial for achieving team commitments and ensuring high reliability of solutions.
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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.
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The Senior Machine Learning Engineer will develop and optimize NLP algorithms, train large language models, collaborate with cross-functional teams, and mentor junior engineers, all while advancing the company's technology stack and delivering new features rapidly.
As a Staff Machine Learning Engineer at Canva, you'll develop AI/ML strategies to enhance customer support, lead the creation of natural language understanding systems, and collaborate with teams to leverage ML capabilities while mentoring other engineers.
The Sr. Applied Machine Learning Scientist will design and deploy advanced machine learning models for product discovery, utilizing technologies like NLP and computer vision while collaborating with ML scientists and engineers to integrate solutions into Grainger's platforms.
Top hybrid Companies Hiring Data + Analytics Roles
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