Top Machine Learning Engineer Jobs

The Staff Machine Learning Engineer will lead projects in developing machine learning solutions for Square's Conversational AI team. Responsibilities include collaborating with stakeholders, building and optimizing ML features, and driving end-to-end machine learning projects while mentoring team members.

The Machine Learning Engineer II develops scalable ML systems, optimizes machine learning models, collaborates with teams, and implements features to enhance customer experiences.

Develop machine learning models and algorithms, optimize features for customer experience, and build scalable data pipelines in a collaborative environment.

The Staff Machine Learning Engineer will lead modeling efforts to improve Square's core products, identify ML opportunities, mentor junior engineers, and implement strategic decisions for model deployment and maintenance. This role involves collaborating on AI advancements to enhance seller experiences.

Lead modeling efforts to improve Square's products, mentor junior engineers, and innovate with AI technologies.

Lead modeling efforts to enhance Square products, mentor junior engineers, and integrate new AI technologies while managing scalable ML systems.

The Principal Machine Learning Engineer will develop and implement machine learning algorithms, collaborate with teams, and guide emerging engineers to integrate AI across Atlassian products and services.

Develop and deploy AI solutions for HR challenges using machine learning. Mentor junior team members while collaborating with data scientists and engineers.

Design and deploy AI solutions, mentor junior data scientists, and lead projects focusing on unstructured data and scalable ML models for HR applications.

The Machine Learning Engineer will be responsible for developing and deploying ML applications, optimizing ML models, building robust software architectures, and providing expertise in MLOps best practices to deliver AI tools for various space-related projects.

The Machine Learning Engineer will develop and optimize large-scale ML models and pipelines, focusing on real-time inference in high-performance settings. Responsibilities include building distributed training systems, collaborating with researchers and HPC specialists, and improving machine learning frameworks. This role directly influences trading strategies.

The Principle Machine Learning Engineer will develop and deploy a knowledge graph, manage large datasets, build APIs, and utilize AI for product enhancements while mentoring team members.

As a Staff Machine Learning Engineer on the Risk team at Cash App, you will develop ML solutions to mitigate risk and fraud. This involves collaborating across departments to balance financial loss, regulatory compliance, and customer experience while utilizing extensive transaction data for analysis.

As a Staff Machine Learning Engineer, you will lead ML solutions focusing on risk mitigation in Cash products, collaborating with multiple teams.

Lead ML initiatives in payments and risk, develop models, engage stakeholders, enhance Gusto's products using data-driven insights.

The Principal Applied Scientist/Machine Learning Engineer will develop and implement machine learning models to solve business problems, design scalable ML pipelines, and lead applied ML research. Responsibilities include enhancing models and collaborating with product and engineering teams to turn business needs into practical ML solutions.

The Staff Machine Learning Engineer will lead projects focusing on developing intelligent machine learning solutions for Square's products. Responsibilities include collaborating with leaders to define success criteria, driving machine learning projects, and mentoring team members, while advocating for engineering best practices and maintaining high code quality.