Top Machine Learning Jobs in Miami, FL

Lead the development of ML algorithms for robotic manipulation, focusing on multimodal perception and real-world deployment, integrating with other robotics functionalities.

The role involves managing the development and deployment of an AI platform by collaborating with engineers, overseeing project lifecycles, and mitigating risks. Strong technical knowledge in AI/ML infrastructure and communication skills are required.

Work with the product team on automating data ETL pipelines, deploying ML models, and connecting ML models to user interfaces. Collaborate with cross-functional teams on product development.

Lead architectural vision and development of scalable infrastructure for self-driving technology, mentoring engineers and overseeing complex projects.

Design and build ML infrastructure components for autonomous vehicles, ensuring scalability and robustness for high-volume data processing and model training.

The Staff AI/ML Engineer will design and build AI-powered services, develop machine learning models, and optimize workflows, collaborating across teams to deliver quality solutions.

The Senior Machine Learning Engineer will transform models into production, build APIs, optimize performance, and lead collaborations with software engineers and data scientists.

As an ML Solutions Architect, design, implement, and lead machine learning solutions for Conversation AI, collaborating with cross-functional teams to address complex business challenges.

The Senior Machine Learning Consultant designs and develops machine learning solutions while mentoring team members and collaborating with clients. Responsibilities include conducting R&D on AI/ML models, optimizing model performance, and ensuring adherence to ethical AI practices.

The Lead Machine Learning Scientist leads teams to design and develop machine learning solutions, mentor team members, and ensure successful project delivery.

As a Staff Machine Learning Engineer, optimize card pricing models, lead ML lifecycle, collaborate with experts, and enhance predictive features.

The role involves building ML infrastructure, creating data pipelines, ensuring data quality, and collaborating with data scientists to optimize models.

As Principal Engineer, lead the development of AI agent systems for ML infrastructure. Oversee team management, architectural vision, and technical contributions while ensuring projects meet productivity metrics.

The Senior Machine Learning Engineer will design and implement high-performance CTR and CVR prediction models, refine systems for user behavior modeling, and ensure model reliability through performance monitoring while engaging with stakeholders.

Design and implement high-performance CTR and CVR prediction models, ensuring reliability and quality while collaborating with team leads on project direction.

Lead the optimization of inference systems, guiding a team to enhance model performance, drive innovation, and mentor performance engineers in a high-growth environment.

The role involves designing and implementing distributed systems for batch inference workloads, creating developer-friendly APIs, and fostering engineering excellence.

As Platform Product Manager, you'll develop AI/ML capabilities for risk management, collaborate cross-functionally, and drive product execution towards user safety and trust.

Drive the development of AI solutions for payments, ensuring low latency and high reliability, while mentoring teams and collaborating cross-functionally.

The Senior Machine Learning Engineer will design and build AI systems, collaborating with teams to extract insights from data and enhance ML Ops capabilities.

The Senior Software Engineer will own large-scale data mining workflows, improve ML products through high-quality datasets, and analyze model performance across driving scenarios.

As a Staff Machine Learning Engineer, you will develop scalable data infrastructure, manage ML workflows, and collaborate with stakeholders to optimize data usage and build automated processes.

Lead AI and machine learning projects, create workflows and models, analyze data from diverse sources, and present insights to non-technical audiences.

The AI & Machine Learning Director will lead machine learning projects, design data workflows, and utilize advanced data analysis and visualization to drive business insights.

As a Machine Learning Customer Success Engineer, you'll assist users with ML workflows, manage customer relationships, and contribute to product development at Voxel51.