Top Machine Learning Jobs in Miami, FL

Lead development of Circle's financial risk analytics, AI/ML-powered tools, and model risk program. Oversee risk appetite, controls, stress testing, and governance while managing teams and coordinating cross-functional and regulatory activities.

Refers candidates for Software Engineering roles at Citadel, focusing on innovative technology and teamwork in financial systems.

Lead the development of innovative AI solutions, guide teams through complex challenges, and collaborate with diverse stakeholders to enhance operational effectiveness and achieve strategic objectives.

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

Conduct quantitative research and statistical analysis on crypto markets to develop, backtest, and implement automated trading strategies. Work with large and unconventional data sets to build valuation models, refine algorithms, and deploy signals in live trading to drive P&L growth.

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.

As a Software Engineer Intern, you will create tools for trading strategies, develop data research platforms, and collaborate in teams to innovate.

The Launch Intern will engage in an 11-week internship focused on learning about finance, collaborating with engineers, and developing technological tools to support trading strategies and data research.

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 Principal Product Manager, AI will lead the AI platform strategy at Webflow, collaborating across teams to enhance product innovation and growth, and develop a unified AI strategy based on customer insights.

As an AI Integrations Staff Engineer at Vetcove, you'll integrate AI models like ChatGPT into existing products, optimize performance, and collaborate with data science teams to enhance user experience.

Embed in Research to drive end-to-end delivery of STT/TTS model versions and features. Map dependencies and risks, run cross-functional programs, establish lightweight processes, and communicate status across Research, Product, DataOps, and Engineering to ensure timely launches.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

Own and scale Coinbase's notification platform and experience to grow MAU, drive engagement, and maximize LTV using ML-driven personalization, analytics, and cross-functional execution.

Design and implement the core Risk platform architecture, manage projects, mentor team members, and write high quality code for Coinbase products.

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

The AI Engagement Manager will foster relationships with top partners, facilitate adoption of AI solutions, and analyze performance using BI tools.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.

Lead the product vision, strategy, and execution for Consumer Risk within Checkout at Affirm, focusing on credit decisioning, pricing, and fraud prevention while managing a team of Product Managers and collaborating with various functional teams.

Lead growth marketing platform strategy, guiding cross-functional teams, optimizing performance through analytics, experimentation, and integrating marketing technologies.

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.