Top Machine Learning Jobs in Austin, TX
A Machine Learning Engineer who develops production machine learning algorithms and recommendation systems, working closely with Data Scientists and Product Managers to create tailored experiences for users.
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.
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.
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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 Machine Learning Engineer to join the team and be responsible for developing end-to-end solutions, including data retrieval, exploratory data analysis, modeling, and deployment. Collaborate with product and engineering teams to enhance the consumer experience through data-driven features. Must have a strong background in computer science, statistics, and machine learning tools.
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.
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.
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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