Top Senior Level Machine Learning Jobs

As a Senior Machine Learning Engineer at Wasabi, you will develop and refine computer vision algorithms and NLP models while leading AI advancements in a team-oriented environment. Responsibilities include collaborating across teams, optimizing machine learning models, and ensuring reliable implementation and maintenance of AI systems.

As a Principal Machine Learning Engineer, you will develop scalable ML systems for Roblox's Virtual Economy, overseeing design, collaborating with teams, mentoring junior engineers, and setting the direction for future ML initiatives.

As a Senior Principal Machine Learning Engineer at Atlassian, you will design and implement innovative machine learning models to enhance products like Jira and Confluence, analyze vast datasets for insights, and collaborate with cross-functional teams to foster AI integration. You'll also mentor colleagues and lead AI knowledge-sharing sessions.

The Staff Machine Learning Engineer will design, build and productionize machine learning models to tackle business challenges, collaborate with product managers and engineers, maintain high code quality, and research emerging technologies. They will also share knowledge through presentations and discussions.

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.

The role involves developing advanced machine learning models for tasks like natural language processing and recommendation systems. The candidate will collaborate across various teams, evaluate model performance, and contribute to research in the field of machine learning, particularly deep learning.

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.