Top Machine Learning Engineer Jobs in Austin
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Looking for a rockstar Machine Learning Engineer to develop and implement cutting-edge ML algorithms, collaborate with product and engineering teams, and improve Atlassian products through AI functionalities.
As a Senior Principle Machine Learning Engineer at Atlassian, you will integrate cutting-edge AI capabilities within Atlassian products, transform the way teams interact with our products, and extract knowledge and insights from data to propel team work forward. Your responsibilities include crafting and implementing innovative machine learning models, diving deep into vast datasets to extract insights, designing and building robust models, collaborating with cross-functional teams, and evangelizing AI within the organization.
As a Principal Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale.
Collaborate on product and business problems, apply quantitative analysis, develop strategies, improve products, and measure success.
Seeking a Principal Machine Learning Engineer to drive the development and implementation of cutting-edge machine learning algorithms and collaborate with product, engineering, and analytics teams at Atlassian. Responsibilities include designing system and model architectures, conducting model evaluations, and providing guidance to emerging ML engineers.
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Develop robust, scalable production ML systems using technologies such as Python, TensorFlow, Airflow, Kafka, PostgreSQL, Redis, and AWS. Collaborate with Data Scientists, Product Managers, and UX Designers to deliver customer-facing solutions. Passion for machine learning and product personalization at scale required.
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.
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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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.
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.
Design equitable, explainable, and competitive compensation programs at Atlassian. Base pay ranges from $165,500 to $265,800 annually based on candidate's skills and expertise. Role may include benefits, bonuses, commissions, and equity opportunities.
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.
Contribute to building next-generation Large Language Models for Enterprise Language Generation at ServiceNow's Advanced Technology Group. Use AI/ML expertise to solve real-world challenges in a scalable way and collaborate with a team of developers, scientists, and engineers.
Contribute to building next-generation Large Language Models for Enterprise Language Generation at ServiceNow. Use AI/ML expertise to solve real-world challenges and collaborate with a team to produce quality software solutions.
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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.
Top Austin Companies Hiring Machine Learning Engineers
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