Top Machine Learning Jobs in Austin, TX
As a Machine Learning Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, tune and evaluate models, and develop evaluation frameworks and metrics. Your role includes building and evaluating deep learning models and transformer-based models, working collaboratively within an AI engineering team.
Interact with top technologists in a fast-paced, AI-driven team building innovative software for the insurance industry. Responsibilities include working with Google Cloud, Kubernetes, and various services, coding in Kotlin, Python, Java, and JavaScript, and utilizing frameworks such as Dataflow, Cloud AI Platform, Spring, and React.
The Senior Data Scientist will develop and deploy machine learning models, creating robust data pipelines and conducting data analysis. They will collaborate with various teams to integrate these models into applications while documenting methodologies and staying updated on industry trends.
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As a Machine Learning Engineer, you will design, build, and iterate on large-scale Machine Learning systems, working closely with cross-functional teams to personalize user experiences at Dropbox. Your role will impact millions of users and involve evaluating the performance of ML systems against business objectives.
As a Senior Machine Learning Engineer, you will design, build, evaluate, and iterate on large scale machine learning systems, collaborating with cross-functional teams to enhance user experiences at Dropbox. Your work will directly impact the product and its millions of users, utilizing cutting-edge AI/ML advancements.
The Senior Staff Scientist will lead the development of hybrid AI applications optimized for various platforms, collaborate with teams to integrate quantum algorithms, and foster client relationships while representing the company at conferences. The role also includes discovering new algorithms and developing core intellectual property in quantum computing.
We're seeking a Senior Staff Software Engineer to drive the design of our LLM service and build APIs. Responsibilities include working on platform scalability, researching generative AI techniques, collaborating with cross-functional teams, and overseeing prompt engineering. A strong background in backend engineering and machine learning is essential.
As a Senior Distributed Systems Engineer (Machine Learning), you will develop and maintain high-quality, scalable AI solutions and services for a Machine Learning Platform. You will collaborate with product and engineering stakeholders to understand requirements, minimize deployment risks, and integrate AI innovations into product development, ensuring the delivery of tangible business value.
As a Senior Software Engineer on the ML Platform team at Upstart, you will build and maintain software applications enabling machine learning models, develop infrastructure for model training, support automation, and collaborate with data engineers and scientists to enhance deployment processes.
The Machine Learning Engineer at Liftoff will develop and train algorithms for real-time bidding, analyze inventory performance, and oversee experiments for optimization strategies. The role involves enhancing existing ML infrastructure, collaborating with engineering teams on data pipelines, and fostering a culture of engineering excellence.
As a Senior Software Engineer in ML Infrastructure, you'll collaborate with various teams to enhance Thumbtack's machine learning capabilities, focusing on feature engineering, model monitoring, and deployment. You will help standardize processes and drive projects to completion while solving complex technical challenges.
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