Top Remote Machine Learning Jobs in Miami, FL

As a Machine Learning Engineer at Liftoff, you will own ML models with direct business impact, adopt new technologies, mentor team members, monitor ML research, and influence team roadmaps. Requires 8+ years of ML experience, strong engineering skills, and a degree in Machine Learning, Math, Physics or similar. Experience with AdTech is a plus.

Machine Learning Engineer on the Embeddings team at Liftoff.

As a Senior Staff Machine Learning Engineer at Liftoff, you will own ML models that have a direct business impact, adopt or build new technologies for training and serving ML models, and mentor team members. You will also monitor the latest ML research and have influence over the roadmap.

Design and build machine learning models to solve classification, regression, and machine vision problems. Perform hyper-parameter tuning and optimize prediction performance. Implement production-ready pipelines for ML prediction and training.

The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for urban roads related to Perception and Object Tracking. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members. Required qualifications include a PhD/MS degree in computer vision or machine learning, experience in deep learning projects, programming skills in Python and/or C++, expertise in ML frameworks, strong communication skills, and the ability to design scalable architectures.

Work as a Senior Machine Learning Engineer at Movable Ink, focusing on advancing the core machine learning solution and infrastructure. Responsible for building scalable models, deploying them to production, and collaborating with cross-functional teams to improve ML platform.

Seeking a Senior Machine Learning Engineer to develop NLP algorithms, train models, preprocess data, resolve entities, collaborate with teams, innovate, review code, and mentor. Requires 5 years of ML experience, proficiency in Python and ML libraries, and a Bachelor's degree in computer science.

Develop and implement machine learning models for fraud detection, analyze datasets, collaborate with cross-functional teams, monitor model performance, and stay updated on the latest machine learning and fraud detection techniques.

As a Senior Machine Learning Engineer, you will develop robust, scalable ML systems using Python and TensorFlow. You will work collaboratively with Data Scientists to turn prototype algorithms into customer-facing solutions and provide technical leadership to junior team members. Your role also involves building data pipelines, collaborating with Product Managers, and making intelligent technical decisions to enhance personalization capabilities.