Top Machine Learning Jobs

As a Senior Machine Learning Engineer, you will design and implement ML applications, optimize models, and collaborate in an Agile environment to solve business challenges using machine learning techniques.

As a Senior Machine Learning Engineer at Capital One, you'll design, build, and maintain ML models and infrastructure, collaborating with teams to optimize solutions and ensure best practices in deployment and governance.

The role involves leading AI/ML initiatives, developing machine learning models, collaborating with various teams, and deploying solutions to solve business problems.

The Senior Machine Learning Engineer will propose and develop innovative solutions using ML and computer vision, working with AI techniques in a defense technology setting.

The Machine Learning Modeler will design and scale intelligent systems for data-driven decision-making, implementing ML pipelines, and collaborating with analytics teams for model production and insights.

The Lead Machine Learning Engineer will design, develop, and deploy AI software components, collaborate with cross-functional teams, and enhance machine learning models and infrastructure.

As a Lead Machine Learning Engineer, you'll design and implement machine learning applications, collaborate with teams, and ensure model performance at scale.

The Senior Machine Learning Engineer will design, build, and lead strategies for risk detection models, mentor team members, and apply advanced AI/ML methodologies to enhance user security and experience.

The intern will develop, deploy, and operate machine learning models, driving research projects to solve real-world problems and collaborate with senior engineers on identifying use cases for ML on blockchain.

The Senior Machine Learning Platform Engineer will optimize ML infrastructures, mentor junior engineers, and raise engineering standards for ML models and systems.

As a Senior Machine Learning Engineer, you'll create ML models to optimize production processes, collaborating with engineers to enhance manufacturing intelligence.

The Senior Machine Learning Engineer will develop, deploy, and optimize machine learning applications, collaborating with cross-functional teams to enhance AI services.

Develop and integrate real-time AI/ML solutions for autonomous vehicles. Collaborate with teams for deployments in defense scenarios and optimize machine learning models.

The AI Lead Software Engineer will collaborate with data scientists, develop ML models, and integrate them into applications. Responsibilities include optimizing performance and acting as a technical liaison across teams.

The role involves building machine learning models to detect risky activities, collaborating with cross-functional teams, and enhancing modeling capabilities. Candidates should have extensive experience in machine learning and strong analytical skills.

As a Machine Learning Engineer in the Notifications team, you'll design and implement ranking and recommendation systems using LLMs, develop experiments, and collaborate with research teams to improve notification relevance and user experience.

Manage a team of Machine Learning Engineers, architecting systems for content integrity, and ensuring effective model training and deployment.

Lead and mentor a team of machine learning engineers, drive ML projects, and collaborate across departments to enhance product features and model improvements.

The Senior Staff Machine Learning Engineer will develop AI-powered solutions, mentor engineers, and collaborate with cross-functional teams to enhance Airbnb's customer experience through advanced machine learning technologies.

Design and implement scalable machine learning pipelines, mentor junior team members, ensure deployment standards, build CI/CD pipelines, and establish best practices for ML systems.

The role involves designing and implementing reinforcement learning pipelines for AI systems, integrating organizational data, and collaborating with product teams to enhance AI functionalities.

The Senior Principal, ML/AI will lead cross-functional teams in developing and implementing ML/AI solutions, driving significant business impact through innovative technical leadership over a defined roadmap.

Lead cross-functional ML/AI initiatives, drive technical roadmaps, mentor teams, and deliver impactful ML/AI solutions for business growth.

Support the transition to AI technologies by training machine learning models and developing AI-based systems for collection processes.

The Biomedical Machine Learning Innovation Scientist will lead AI applications in drug discovery, collaborate with research teams, ensure robust AI models, and promote innovation across the organization.