Top Remote Machine Learning Jobs in Austin, TX
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.
Sr. Machine Learning Engineer responsible for building globally distributed, fault-tolerant, and highly scalable ecosystems using Large Language Models. Prior experience with LLMs is not required. Create techniques and systems for model evaluation, build metrics, system automation, and collaborate across teams for solutions.
As a Staff Machine Learning Engineer at Striveworks, you will be responsible for leading and executing machine learning projects for commercial and government clients. You will develop machine learning models and custom analytics solutions and automate data pipelines and algorithms. This is a remote work position with regular travel.
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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.
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 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.
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.
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.
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