Top Machine Learning Jobs in Miami, FL

Interns will collaborate in small teams to develop high-performance technology tools for trading strategies and work on large data research platforms.

The Launch Intern will support engineering projects in the finance industry, enhancing tools and platforms while collaborating with teams and senior leaders.

Design and develop high-performance technology tools and platforms for trading strategies, working in collaborative, innovative teams.

Interns will create tools for trading strategies, develop research platforms, and work collaboratively in small teams to build finance technology.

As a Launch Intern, you will work on technology tools in finance, collaborate with engineers, and participate in personal and professional growth opportunities.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

Lead the creation of innovative data solutions using generative AI and cloud technologies, guide teams through challenges, and cultivate stakeholder relationships.

As a PhD intern, you'll design, develop, and deploy software solutions for automated trading, collaborating with the Quantitative Research team.

The role involves reimagining business processes through AI, driving AI initiatives, managing governance, and sharing AI knowledge across the enterprise.

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

The Staff Machine Learning Engineer will lead technical strategy, collaborate on product development, ensure operational excellence, and foster team quality and ownership.

The Senior Principal AI Scientist leads AI initiatives, leveraging deep machine learning expertise, collaborating with teams, and driving innovation in Experience Management at Qualtrics.

Join Welo Data as part of a global community focusing on data annotation and enhancing AI models with diverse linguistic expertise.

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools and systems for compliance and risk management.

The Principal Product Manager will lead the strategy and delivery of an AI-native compliance platform, overseeing product development and working cross-functionally with various teams.

Lead the strategy and delivery of an AI-native platform for internal tools and compliance. Collaborate cross-functionally to enhance scalability and efficiency.

Lead the strategy and delivery of an AI-native platform, overseeing internal tools and compliance programs for Circle.

Lead architectural strategy and technical vision for Affirm's Purchasing, Credit Underwriting, and Machine Learning infrastructure domains, mentoring senior engineers and guiding cross-functional teams.

The Principal Product Manager will lead the development of an AI-native platform, overseeing design, strategy, and cross-functional coordination for compliance and operational tools within Circle.

Lead the strategy and delivery of an AI-native platform, transforming internal tools into a unified system while collaborating with cross-functional teams.

The Principal Product Manager will lead the strategy and delivery of an AI-native platform, connecting internal tools and compliance systems at Circle, ensuring regulatory performance while fostering innovation.

Lead the strategy and delivery of an AI-native platform, overseeing design and development of internal tools, compliance programs, and partnership with vendors.

Lead the strategy and delivery of an AI-native platform, transforming Circle's internal tools and compliance systems while collaborating cross-functionally.

As a Senior Software Engineer on the Data Platform team, you'll design and operate data services, maintain scalable ingestion pipelines, and collaborate on data governance, ensuring reliability and performance of critical data systems.