Top Machine Learning Jobs in Miami, FL

Lead enterprise data governance, quality, and lineage strategy. Mentor teams and partner with engineering to enhance data intelligence through AI-driven frameworks.

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

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

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.

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.

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.

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

The Head of Consumer Product will create engaging experiences using relational AI, focusing on user well-being rather than metrics like engagement. Responsibilities include product strategy, user research, gamification, and community building.

The Principal Product Manager will lead strategy and delivery of an AI-native platform, transforming internal products and tools, while engaging with cross-functional teams and overseeing product lifecycle.

As a Machine Learning Engineer Intern, you'll enhance model performance, develop production-grade tools, and automate workflows while receiving mentorship from experienced ML professionals.

The Senior Engineering Manager will lead multiple growth engineering teams to build products, improve engineering quality, and drive significant business impact, focusing on user growth through innovative strategies while ensuring high-quality execution under deadlines.

Analyze malware and detection tickets to improve detection capabilities. Collaborate with internal teams on threat detection inquiries and perform tasks to manage false positives.

The role involves leading Data Science projects using AI and ML to develop analytics solutions, mentoring teams, and interfacing with stakeholders.

As an Associate Product Counsel at Dropbox, you will advise on user privacy, data protection, and oversee incident response while collaborating with product and security teams.

The Product Owner II oversees product strategy and backlog, collaborating with teams to enhance underwriting risk assessment through AI and analytics.

The Senior Agentic Product Manager will lead the strategy for Agentic Managed Detection and Response, focusing on innovation, requirements gathering, and metrics development across various domains.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Research Scientist at Upstart will develop machine learning models to enhance borrower risk predictions, design prototypes, and collaborate with cross-functional teams while mentoring junior members.

Design, lead, and evolve the Channel Integrity Program to manage risks related to bribery, corruption, and fraud, utilizing predictive analytics and compliance strategies.

As a Senior Staff Machine Learning Engineer, you'll build production models, improve machine learning features, and ensure data infrastructure for fraud detection and more. You'll leverage your extensive experience in machine learning and collaborate to drive product intelligence.

Lead AI and machine learning innovation for new vehicle analytics, develop statistical models, and ensure alignment with business strategies. Communicate insights to leadership and collaborate with various teams.

Lead the design and development of AI-powered features and platforms. Guide teams to create innovative solutions, ensure project success, and mentor team members while enhancing client relationships.

The Staff Machine Learning Engineer will lead ML initiatives, develop ML systems, collaborate with cross-functional teams, and mentor junior engineers to optimize healthcare intake workflows using advanced machine learning techniques.