Top Machine Learning Engineer Jobs in Austin
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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.
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.
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.
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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.
Develop and implement advanced ML models and algorithms for security problems. Lead model training, development, and deployment strategies. Collaborate with software engineering teams for seamless model integration. Maintain clear documentation and best practices for machine learning and security operations.
Lead experimental research projects to optimize large language models, innovate data curation strategies, publish findings, and work autonomously on complex research challenges in AI research at ServiceNow.
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.
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.
Featured Jobs
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.
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.
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.
Collaborate on product and business problems, apply quantitative analysis, develop strategies, improve products, and measure success.
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.
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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.
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