Top Senior Level Machine Learning Jobs in Austin, TX

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 to lead teams, architect sophisticated solutions, and drive innovation in Security AI. Responsibilities include team leadership, architecture design, model development, training and evaluation, and solution development. Ideal candidate excels in ML, possesses architectural vision, specializes in problem-specific model customization, handles high-dimensional data, and is proficient in NLP and LLM.

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.

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.

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.

Coordinate Go-To-Market strategies, manage campaigns, provide feedback, and drive execution of cross-cloud initiatives for Google Cloud. Develop stakeholder management plans, drive demand generation strategies, create business assets, and lead content execution for campaigns.