Top Machine Learning Jobs in Miami, FL

Conduct rigorous research using statistics and machine learning to extract patterns from datasets. Implement algorithms, back-test models, and document findings.

Conduct research using machine learning to analyze data sets, implement algorithms, back-test models, and document findings as a PhD intern.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, drive AI initiatives, and collaborate cross-functionally to enhance SailPoint's AI capabilities.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The Sr. Product Manager will own product strategy and execution for key initiatives, collaborating with cross-functional teams and focusing on AI and e-commerce solutions.

The Solutions Engineer collaborates with customers to design satellite communication solutions, oversees installations, troubleshoots issues, and works with cross-functional teams to ensure project success.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

As a Principal Software Engineer, you'll architect and code backend services and ML models, integrate them with Salesforce, and mentor junior engineers.

Lead the machine learning strategy, design scalable ML systems, drive MLOps, mentor engineers, and comply with AI governance.

Analyze malware and detection data to improve machine learning models, manage false positives, and respond to internal inquiries regarding threat detections.

The Principal Software Engineer will architect AI-powered Clinical Trial Management Systems, driving product modernization, AI strategy, and engineering transformation, while ensuring compliance and scalability.

Manage Jerry's organic community strategy across platforms like Reddit, Quora, and TikTok, enhancing brand authenticity and user engagement.

As a Senior Associate in Business Operations, you will drive data-driven decisions across key initiatives, lead A/B tests, and optimize operational efficiency.

As a Business Operations Associate, you'll work on data-driven initiatives, conduct analyses, design A/B tests, and improve efficiency to support company growth.

As a Business Operations Associate, you'll drive data-driven decisions across core business initiatives, optimize processes, and support user acquisition strategies.

As a Senior Associate in Business Operations, you will drive data-driven decisions, lead A/B experiments, and optimize business strategies in a growing startup environment focused on car ownership solutions.

As a Machine Learning Engineer, you will enhance internal libraries for deep learning, collaborate with researchers, and optimize workflows for cost savings.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

As a Knowledge Manager, you will utilize your data science expertise to investigate data sets, develop algorithms, and provide insights to meet client needs across various sectors.

The engineer will build and operate AI/ML infrastructure, managing services on AWS and bare metal, using tools like Kubernetes and Terraform.

As an ML Ops Infrastructure Engineer, you will design CI/CD pipelines for ML, maintain deployment systems, and implement monitoring while collaborating with research teams to ensure model quality and performance.

As a Systems Architect, you'll define and drive the infrastructure architecture for AI/ML workloads, design multi-cloud strategies, manage compute orchestration and storage systems, and lead capacity planning, while also collaborating with engineering leadership.