Top Machine Learning Engineer Jobs in Austin, TX
Dropbox is seeking a Machine Learning Engineer to design, code, train, test, deploy, and iterate on large scale machine learning systems. The role involves building products alongside a multi-functional team and shaping the direction of machine learning and AI at Dropbox.
ForeFlight is looking for an experienced Machine Learning Engineer in Austin to work on extracting aeronautical information from documents. The ideal candidate should have education or experience in machine learning, be proficient in Python, and have a specific interest in computer vision for geospatial analysis.
Looking for a technical leader to shape the Machine Learning agenda for Dropbox's new initiatives, developing high impact ML solutions touching millions of users and large datasets. Responsibilities include collaborating with ML experts, building products, and shaping the direction of ML and AI at Dropbox.
Seeking a Staff Machine Learning Engineer - MLOps Platform to design data pipelines and engineering infrastructure, evaluate new technologies, build CI/CD pipelines, support model development, and collaborate with product and engineering teams. Requires advanced degree or relevant experience in computer science or related fields, proficiency in Python, R, Spark, SQL, AWS, and MLOps frameworks.
Play a major part in building AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Provide expertise in Data Lifecycle Management and collaborate with Data Scientists on developing key ML models. Design scalable data models using Snowflake for optimizing predictions and recommendations.
Seeking a Senior Machine Learning Engineer to develop and support infrastructure for data science and AI models, ensuring secure and ethical systems to meet customer objectives. Responsibilities include developing data pipelines, infrastructure, CI/CD pipelines, testing environments, APIs, and data platforms. Qualifications include a Bachelor's degree in computer science or related field, strong technical skills in AWS, Python, containers, version control, and experience with enterprise cloud environments.
Partner with stakeholders to develop ML models for production, write code, and conduct experiments to enhance pricing and recommendation systems.
As a Data Engineer at Shipwell, you will contribute to the design, development, and maintenance of data pipelines, optimizing cloud infrastructure, and enabling data access for research projects. Responsibilities include ETL, data integrity standards, and performance optimization. Collaborate with cross-functional teams and contribute to scalable data architectures.
Develop advanced Machine Learning models to optimize loan offers presented on partner websites. Design features, evaluate model performance, and collaborate with stakeholders to drive decision-making and results.
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Join Optiver as a Machine Learning Performance Engineer to work on AI initiatives, focusing on Machine Learning infrastructure, training, and inference challenges to advance futures trading strategies. Collaborate with researchers and engineers to build scalable pipelines and enhance deep learning frameworks.
Seeking a Machine Learning Performance Engineer to work on AI initiatives, focusing on Machine Learning infrastructure and trading strategies. Responsibilities include building scalable pipelines, enhancing deep learning frameworks, identifying performance bottlenecks, and collaborating with researchers.
Optiver is seeking Machine Learning Researchers to join our futures trading team, also known as Delta One. We’re looking for someone to create and improve machine-learning models, conduct signal/alpha research, and deliver improved predictions from which to run trading strategies.
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