Top Machine Learning Jobs in Miami, FL

As a Senior to Principal Machine Learning Engineer, you'll lead the architecture and development of the Agentic AI platform, focusing on LLMs. Responsibilities include enhancing LLM performance, designing evaluation methodologies, and establishing safety protocols for LLM use.

The Data Analyst will prepare and analyze data for predictive modeling, support multiple projects, and collaborate with various teams to enhance data processes and insights.

The Workday HCM Architect leads the development of HR solutions utilizing Workday AI, Talent Management tools, and enterprise software implementation in collaboration with business and IT partners.

The VP, AI Enablement will lead strategy and implementation of AI technologies in educational products, drive innovation, and collaborate with stakeholders to enhance learning outcomes.

Lead a team of engineers to design, develop, and enhance the data ingestion platform, focusing on real-time data processing and system reliability.

Lead the implementation of agentic AI and workflow automation across business functions, ensuring effective adoption and measurable business impact.

As the Engineering Manager, you will lead a product engineering team, influencing technical design, product delivery, and team growth while collaborating across functions and focusing on operational quality in payment solutions.

Lead the development and deployment of machine learning and generative AI models to enhance customer onboarding processes, utilizing data science techniques and cloud infrastructure.

As a Senior Software Engineer, you'll develop, launch, and maintain scalable applications, collaborating with various teams, and utilizing technologies including Java, Node.js, and AWS.

The Implementation Manager will oversee the complete implementation process for new clients, ensuring efficient onboarding and alignment with customer needs while collaborating with internal teams.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

Support and scale customer onboarding for Togal.AI's cloud platform by providing training and assistance to maximize customer engagement and satisfaction.

The Account Executive will drive revenue growth, manage client relationships, execute sales deals, and optimally align market strategies for NexGen Cloud's GPU solutions across various industries.

The Director of Business Product Management will define and execute the vision for the Automotive CRM platform, prioritizing customer needs, leading product initiatives, and collaborating across teams to enhance automotive retail experiences.

Lead mobile app attribution strategies, collaborating with teams across engineering and data analytics to optimize performance and feature implementation.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

The Principal Product Manager will lead data initiatives, defining the roadmap for a comprehensive platform, establishing KPI metrics, and collaborating across teams to enhance data-driven decision-making within the automotive sector.

Lead and mentor a team in building ML pipelines and AI solutions, oversee data projects, and collaborate with cross-functional teams for impactful insights.

Lead the design and implementation of advanced ML systems at Airbnb, mentoring engineers and shaping concepts into impactful products.

The Enrollment Advisor helps prospective patients through the onboarding process, providing information and support throughout their enrollment in Revero's program.

Lead the evaluation and optimization of large-scale datasets for AI training, ensuring data quality and collaborating with research teams.

The Staff Product Manager will drive the vision and strategy for Reddit's Ad Recommendations, collaborating across teams to optimize advertising solutions and enhance monetization efforts.

Lead the Auto-Bidding team's technical vision, optimize recommendation and forecasting systems, mentor a high-performing engineering team, and drive technical projects in ad technology.

Lead a machine learning team focusing on natural language applications in educational measurement, mentor scientists, and drive R&D innovations.

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.