Top Machine Learning Jobs in Austin, TX
Senior Software Engineer in the Central AI team at Atlassian, responsible for building and maintaining core infrastructure for machine learning models and pipelines. Leading projects from design to launch, collaborating with internal teams, and setting expectations. Offering competitive compensation and benefits. Requires 5+ years of experience, fluency in Java/Kotlin and Python, experience in Continuous Delivery, Continuous Integration, and large-scale distributed systems using AWS and Apache Spark.
As a Machine Learning Engineer on the Duo Security ML Infrastructure team, you will participate in designing and building systems to handle ML-powered applications and collaborate with various teams in the Data Science & Engineering organization. Responsibilities include working on high complexity technical problems, developing ML infrastructure capabilities, and supporting running models in production.
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.
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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.
Join Realtor.com as a Senior Machine Learning Engineer and contribute to the development of data-driven and machine learning-based features to enhance the consumer experience in the real estate industry. You will be responsible for creating ETL pipelines, performing data analysis, designing and building predictive models, and deploying the models into a production setting. Bring your expertise in Python, machine learning, NLP, and data mining to help drive revenue growth and support strategic decision making.
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.
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.
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.
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.
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.
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