Top Machine Learning Jobs in Austin, TX
As a Machine Learning Engineer, you will design and maintain AI/ML pipelines, train and tune models including Deep Learning and Large Language Models, and work on data collection and evaluation frameworks. Your role includes collaborating with AI engineers to evaluate neural networks and other ML models, delivering scalable solutions.
As a Senior AI Engineer, you will design and maintain AI/ML pipelines, work on model training and tuning using various machine learning frameworks, and build evaluation frameworks for large-scale machine learning products.
In this role, you will develop AI/ML strategies to enhance customer support at Canva, lead the ML development of natural language processing systems, and collaborate across teams to leverage existing ML capabilities and address cross-organization challenges.
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As a Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, focusing on forecasting models. You will collaborate with various teams to build scalable and reliable models, handle business problem quantification, and engage in model evaluation.
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As a Senior Data Scientist at GM Motorsports, you will develop and deploy analytic models and machine learning algorithms. Working with a cross-functional team, you'll analyze large datasets to solve complex business challenges and support race teams with data-driven solutions. Close collaboration with software engineers and data engineers is essential to ensure project success.
The Sr. Machine Learning Engineer at CrowdStrike will innovate machine learning technologies, focusing on scalability and cost-effectiveness, build backend microservices, maintain data pipelines, and contribute to the training of custom models while collaborating across teams and mentoring other engineers.
As a Senior Software Engineer on the ML Platform team, you will develop and maintain the MLOps platform that supports machine learning training, process automation, model deployment, and monitoring. Your role focuses on optimizing software applications, building infrastructure for model training, and enabling collaboration with data engineers and research scientists.
The AI Strategist at KUNGFU.AI focuses on helping clients integrate AI/ML into their organizations by delivering quantifiable insights and actionable recommendations that enhance their capabilities and competitive advantage. Responsibilities include conducting stakeholder interviews, analyzing organizational dynamics, and collaborating with engineers to create impactful strategies.
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Lead customer transformation by designing and executing data and analytics strategies. Collaborate with business leaders to address challenges and develop a future state. Contribute to the consulting practice's direction through service delivery and support business development. Work with clients and teams to deliver data initiatives while mentoring junior consultants.
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The Machine Learning Research Engineer at Optiver focuses on deep learning for price forecasting, building training and inference pipelines, enhancing deep learning frameworks, and understanding trading systems. They will collaborate with researchers and engineers to impact trading strategies directly.
As a Machine Learning Performance Engineer at Optiver, you will build and optimize deep learning infrastructure, engage with team members to enhance AI initiatives, identify performance issues, and deepen your knowledge of trading systems.
The Machine Learning Researcher will enhance price forecasting models through machine learning, collaborating on research and improving workflows for efficient innovation. The role impacts business growth and necessitates building and deploying applied ML models on real-world applications.
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