Top Machine Learning Jobs

As an AI/ML Intern, you will design machine learning algorithms, develop deep neural networks, and work with various sensor technologies, enhancing autonomous robots performance.

The Research Engineer will develop scalable infrastructure for machine learning research, optimize workflows, and enhance model inference for trading systems.

Design, develop, and maintain algorithms for engineering applications, manage datasets, and implement machine learning workflows in an AI Copilot startup.

The Engineering Manager - Machine Learning will lead a team developing ML models for growth personalization and financial insights, driving measurable impact across Plaid's products.

The Principal ML Engineer will lead initiatives in Ads, oversee technology evolution, enhance system designs, and drive execution and collaboration with teams.

Join Xometry as a Senior Machine Learning Engineer to develop and implement machine learning models, enhancing predictive capabilities and leading technological evaluations for innovation.

Design and develop machine learning models for automation in production-scale metal 3D printing, integrating data science with physics-based models.

Lead the design, development, and scaling of machine learning systems to optimize Adobe's go-to-market strategies and improve customer experiences.

Lead the Notifications Relevance team, developing machine learning models for personalization and user engagement, while managing engineering efforts and team growth.

Design and implement AI/ML models to analyze geospatial data for defense applications, enhancing predictive intelligence and operational strategies.

The Principal ML Engineer will develop advanced machine learning systems, mentor junior engineers, and collaborate with cross-functional teams to optimize business solutions in Merchandising and Supply Chain.

Develop and optimize machine learning models, preprocess datasets, collaborate on model deployment, conduct tests, and stay updated on advancements.

The Head of Venmo AI Personalization will define and drive the strategic vision for machine learning at Venmo, overseeing model development and optimizing user personalization and ranking systems while mentoring a world-class team.

Lead the development and deployment of machine learning solutions, mentoring engineers, driving revenue growth through AI-driven insights, and collaborating cross-functionally.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.

Lead AI/ML initiatives, develop machine learning models, collaborate with cross-functional teams, and deploy solutions in production. Requires strong expertise in AI/ML methodologies.

The Senior Software Engineer, Machine Learning will develop, deploy, and maintain production-ready ML solutions, collaborating with data scientists and business stakeholders to ensure alignment with company goals.

Drive the strategic vision for machine learning initiatives, lead development of ML models, oversee data analysis, deploy ML solutions, and mentor junior staff.

Support Acute Care Informatics by developing ML/AI solutions; collaborate with clinicians to enhance clinical data analytics through algorithms and cloud technologies.

The Lead Machine Learning Engineer will lead data and ML system development, manage technical challenges, and streamline data science initiatives within the AI Platform team at Visa.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

The Principal Machine Learning Engineer will build AI/ML solutions, collaborate with engineers, ensure product security and compliance with AI regulations, and drive architectural decisions for enterprise services.

Lead and mentor a team in developing and implementing advanced machine learning solutions, focusing on operational excellence and innovative fintech products.

Lead end-to-end machine learning solutions for autonomous driving, mentor engineers, design advanced models, and ensure safety and reliability in diverse scenarios.

As a Senior AI/ML Engineer, you will design and deploy advanced machine learning models for autonomous vehicles, collaborate with teams, mentor engineers, and drive innovation in onboard ML systems.