Top Senior Machine Learning Jobs

As a Senior Machine Learning System Engineer, you will develop and enhance machine learning systems, collaborating with teams to improve product functionality and performance.

Seeking a Senior Machine Learning System Engineer with expertise in AI and machine learning algorithms to enhance team productivity.

The Senior Machine Learning Engineer at Atlassian will work on developing and implementing machine learning models, focusing on enhancing team collaboration tools. Responsibilities include building algorithms, optimizing performance, and collaborating with cross-functional teams to support product development.

As a Senior Engineering Manager for ML & AI, you'll lead Data Science and ML initiatives, mentoring team members, and collaborating across R&D to drive strategic AI solutions that impact the business.

The Staff Machine Learning Engineer will define technical strategies, design ML models for document processing and risk assessment, and build scalable ML systems to protect Coinbase users' funds.

As a Senior Machine Learning Engineer, you will define search metrics, optimize retrieval paths, and investigate search-quality issues to enhance operational excellence.

The role involves developing ML systems to detect abusive content and spam, creating detection pipelines, and integrating advanced AI methods for fraud prevention in collaborative workspaces.

The Senior Machine Learning Engineer will build AI-driven customer support products, collaborate cross-functionally, and maintain large-scale ML systems, leveraging modern techniques for real-world impact.

As a Senior Staff Machine Learning Engineer, you'll develop AI/ML solutions, collaborate cross-functionally, and enhance customer experience through conversational AI and data processing.

The Staff Machine Learning Engineer will lead technical direction for ML technologies, design impactful ML solutions, mentor engineers, and drive cross-team initiatives.

As a Staff Machine Learning Engineer, you will develop and maintain ML models for decision-making, optimize pipelines, and collaborate with a diverse engineering team.

The role involves leading design and development of machine learning models for military aircraft support, collaborating on data analysis, and ensuring compliance with data quality and security standards.

The role involves designing and implementing AI/ML-driven capacity forecasting models, collaborating with cross-functional teams, and optimizing resource demand across infrastructure environments.

Lead the Applied Machine Learning team for Cash App, managing ML engineers, developing AI tools, and fostering collaboration on data-driven insights.

Lead a team to build large-scale machine learning indexing and ranking systems while collaborating with product teams and enhancing team performance.

Design and implement ML-powered features, optimize algorithms, and collaborate cross-functionally to elevate the ML platform and enhance user experiences.

Lead and mentor a team of applied ML engineers at Cash App, focusing on building explainable ML systems to support decision-making across business teams.

Design, develop, and deploy machine learning models and algorithms, collaborate with teams to integrate AI solutions, and mentor junior engineers.

Develop and deploy AI/ML models and pipelines for various applications, optimize them for performance and cost, and collaborate with teams on deployment.

Lead and mentor a team of data scientists and engineers in delivering personalized machine learning systems, aligning projects with business goals, and promoting best practices.

The Machine Learning Engineer Senior will design and develop ML algorithms to enhance analytics and decision-making, optimizing model performance, and ensuring reliability and data quality.

The role involves designing and deploying machine learning systems for a search platform, focusing on ranking and retrieval while collaborating with cross-functional teams.

Responsible for developing AI/ML solutions, managing teams, understanding product requirements, and creating data processing pipelines to enhance enterprise services.

The Research Engineer will develop and benchmark ML algorithms, optimize transformer architectures for edge devices, and collaborate on research projects across teams.

As a Principal Quantitative Modeler, you will develop econometric and machine learning models for credit risk management, providing insights and solutions across Capital One's business. Responsibilities include partnering with different teams, applying quantitative methods, and delivering clear communication and documentation of modeling processes.