Top Senior Level Machine Learning Jobs in Austin, TX
The senior engineering manager will lead a team of engineers to build and scale Dropbox's AI offering, Dash. They will be responsible for driving product monetization, fostering a collaborative culture, and providing strategic direction.
The Manager, Machine Learning at Apex Fintech Solutions is responsible for leading the Machine Learning team, developing ML models, working with stakeholders, and managing the end-to-end machine learning project lifecycle.
Principal Machine Learning Engineer at Realtor.com. Lead collaboration with data scientists, product managers, and other cross-functional teams to build new data driven and machine learning based features for enriching the consumer experience.
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As a Senior Machine Learning Engineer, you will develop production ML systems using Python and technologies like TensorFlow. You'll collaborate with Data Scientists to turn prototypes into customer-facing solutions, provide technical leadership, and build data pipelines for algorithm input. Your expertise will drive personalized learning experiences for Pluralsight's users.
Lead Principal Machine Learning Software Engineer responsible for developing and deploying advanced machine learning algorithms and integrating AI functionalities into Atlassian products. Requires expertise in Python or Java, experience building and scaling machine learning models, and ability to communicate data science concepts to diverse audiences.
Seeking an Engineering Leader with a strong background in machine learning to lead and mentor teams, architect solutions, and drive innovation in Security AI. Responsibilities include team leadership, architectural design, model development, model training and evaluation, and solution development in the realm of security.
Play a major part in building AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Collaborate with a team to produce quality software for intelligent enterprise services.
Works as a subject matter expert in design and development of program methods to analyze big data sources. Performs statistical analysis, develops analytical models and algorithms, and communicates insights to business management. Requires Bachelor's Degree in Computer Science or related field, with 7-10 years of experience in ML for manufacturing. Must have experience in Semiconductor equipment or Manufacturing industry.
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