Top Machine Learning Jobs in Orlando, FL

Lead AI initiatives and governance, enhance AI capabilities, and develop internal training programs while collaborating across teams.

The AI Data Scientist will leverage proprietary language-based clinical data to develop insights, support operations, and enhance patient experiences through innovative AI solutions.

Lead growth marketing efforts by leveraging AI for worker acquisition and retention, utilizing data science to optimize strategies, manage campaigns, and conduct performance reporting.

Lead special projects and initiatives in AI Factory Physical Datacenter operations, managing infrastructure builds and cross-functional teams while ensuring safety and compliance.

The Director of Lifecycle Marketing Operations will lead a team to enhance customer acquisition and retention strategies using AI analytics and automation.

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.

The Senior Manager, Product Analytics will lead a team to analyze product performance, drive data-driven strategies, and collaborate with cross-functional teams to enhance customer experience.

Manage customer accounts for Anduril's defense technology, overseeing deployment of products, nurturing client relationships, and collaborating with teams to meet operational needs.

Lead the design and implementation of simulation-based validation strategies for autonomous systems, mentoring engineers and ensuring performance metrics are met.

The Staff Data Scientist will lead predictive solutions development, collaborating with multiple teams to drive business outcomes through AI/ML model implementations.

As a Sr. Product Manager, you will improve product offerings by gathering feedback, developing product roadmaps, and leading cross-functional teams to enhance customer experience.

Lead a team of Computer Vision and Machine Learning Engineers, driving the development of models for 3D dental platforms and implementing best MLOps practices.

Lead the Machine Learning Platform team at Coinbase. Responsibilities include managing engineers, collaborating on roadmaps, coaching, and ensuring high system availability.

The role involves deploying machine learning models for autonomous vehicles, developing software for ML runtimes, and collaborating with AI teams.

The Senior Data Scientist will optimize product performance through data analysis, collaborate with teams to provide insights, and support product initiatives.

Lead AI and linguistics teams to develop advanced language technologies, driving innovation and defining the vision for multilingual writing tools.

The Senior Machine Learning Engineer will build and scale AI platforms while collaborating across disciplines to create effective agents, leading technical direction and making impactful AI applications.

As a Staff Machine Learning & Computer Vision Engineer, you will build models for 3D scans, research generative AI methods, and develop MLOps pipelines, contributing to product enhancement and innovation.

The Director of Data Science will build and manage machine learning models, collaborate cross-functionally, and lead the ML strategy at Hungryroot.

The Senior Staff Software Engineer will drive infrastructure improvements and build systems to enhance user experience and growth at Coinbase.

Lead AI product initiatives on Edge devices, optimize ML models for Edge compute constraints, and develop AI solutions using petabyte-scale data.

As a Machine Learning Engineer, you'll enhance ML productivity, improve model deployment, and implement algorithms for credit decisioning systems.

Oversee compliance and supervisory framework for Social Trading at Robinhood, ensuring adherence to FINRA regulations and risk management processes.

Lead machine learning initiatives at Vetcove, designing, building, and deploying ML models to improve decision-making in veterinary practices. Collaborate with teams to integrate models and establish best practices, while mentoring peers and enhancing real-world outcomes.

Analyze complex challenges and enhance AI infrastructure through advanced machine learning, while mentoring engineers and developing production-grade systems.