Top Remote Data Engineer Jobs in Miami, FL
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Join Grammarly's Responsible AI team as a Machine Learning Engineer specializing in NLP. Develop and implement new ML solutions to enhance the safety and fairness of Grammarly products. Work in cross-functional teams to leverage ML advances and build scalable solutions.
Senior ML Engineer role at Grammarly's On-Device ML team responsible for proposing, designing, and implementing strategic new features using ML models to enhance writing assistance capabilities. Collaborate with core product teams, monitor deployment, and leverage academic research to advance technology.
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.
Looking for a Senior Data Engineer with extensive experience in data engineering, Snowflake, AWS, ETL development, and data infrastructure. Responsibilities include designing and implementing data pipelines, master data, and building data infrastructure. Must have a strong desire to learn new tools and skills. Remote US location, preferably in Pacific time zones.
Machine Learning Engineer on the Embeddings team at Liftoff.
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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.
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Design, develop, and maintain scalable solutions for ongoing metrics, reports, and analyses to support analytical and business needs. Translate business problem statements into analysis requirements and collaborate with the team to measure customer experience. Develop queries, visualizations, troubleshoot data-quality issues, and recommend improvements to back-end data sources.
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.
Looking for an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Collaborating closely with scientists to ensure efficient model training and integration into production environment. Responsible for reliability, cost-effectiveness, scalability, and velocity of ML models.
Looking for an ML Engineer to construct and manage robust, scalable, and high-performance compute platforms for ML workflows. Responsible for ensuring efficient model training and integration into production, supporting autonomous vehicles at Cruise. Must have strong problem-solving skills and a bias towards action.
Join our team as a Senior Analytics Engineer at Spring Health, a mental health solution provider for employers and health plans. Your role involves developing data infrastructure, building dashboards, and optimizing business operations.
Ontra is seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure. The role requires 5+ years of core data engineering experience with technical skills in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.
As a Senior Data Engineer at SambaSafety, you will design and develop reliable and scalable data solutions using industry standards and agile processes. Responsibilities include creating and implementing data solutions, improving workflows, connecting data platforms, and guiding data and software engineers. Preferred skills include knowledge of distributed messaging technologies, relational databases, ETL tools, and cloud platforms like AWS.
Join Brigit as a Senior Data Engineer to build data platforms, develop data pipelines, optimize data processing, collaborate with teams, drive project management, shape data quality strategy, and establish best practices. Requires 6+ years of data engineering experience in Python and SQL, proficiency with cloud infrastructure, data warehouse administration, dbt, and analytics engineering.
Join SeatGeek's Data team as a Senior Analytics Engineer in New York City. Develop data pipelines, collaborate with stakeholders, implement best practices, and own BI vendor management. Requires 4+ years of experience, a degree in a quantitative discipline, expertise in SQL and Python, and experience in data analysis and reporting.
Top remote Companies in Miami, FL Hiring Data + Analytics Roles
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