Top Remote Machine Learning Jobs in Austin, TX
Seeking a Machine Learning Engineer to design, develop, and implement Machine Learning algorithms and models for scalable deployment. Responsibilities include collaborating with Data Scientists, integrating ML models, monitoring performance, and improving existing models. Bonus points for experience with Deep Learning models and NLP applications.
Seeking a highly skilled and motivated Senior Data Scientist with expertise in building machine learning models, deploying models, and creating pipelines. Requires proficiency in Python, R, SQL, and AWS Machine Learning services.
Build and optimize software applications for machine learning models. Develop tools and infrastructure for research scientists to train models. Enable rapid experimentation and collaboration with Data Engineers and Research Scientists.
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Design, develop, and deploy machine learning solutions for marketplace challenges while collaborating with cross-functional teams to meet business goals and enhance operational efficiency.
Maintain existing automation test frameworks, collect and report quality metrics, design testing strategies, create test plans, support troubleshooting, familiarity with AI/ML modeling and testing
As a Staff Machine Learning Engineer on the Bidding Policy team at Liftoff, you will work on building state-of-the-art ML models to make accurate bidding decisions in millions of auctions per second. You will have end-to-end ownership of designing and implementing reliable, scalable, and cost-efficient systems.
Design, build, evaluate, deploy, and iterate on large scale Machine Learning systems at Dropbox. Collaborate with cross-functional teams to personalize user experiences and impact millions of users. Requires BS or MS in Computer Science, 2+ years of experience, strong analytical and problem-solving skills, and proficiency in Python, C, and C++.
Join Enigma as a Senior Machine Learning Engineer to lead the development of entity resolution algorithms, predict small business behavior, and enhance machine learning infrastructure. Build scalable ML systems and collaborate with cross-functional partners to drive impact on the small business economy.
As a Machine Learning Scientist at Samsara, you will develop ML solutions to enhance the safety, efficiency, and sustainability of physical operations. You will collaborate with engineering teams to build end-to-end ML applications and optimize services for training, deploying, and monitoring models.
The Staff ML Engineer will be responsible for driving the vision and execution of LiftIQ, a Marketing Experimentation and Optimization Platform. They will collaborate with cross functional teams, design and engineer ML platforms, and lead the development of scalable ML data products.
Top remote Companies in Austin, TX Hiring Data + Analytics Roles
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