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Top Remote Machine Learning Jobs in Austin, TX

4+ Job Results
11 Hours Ago
Austin, TX, USA
Remote
Hybrid
4,500 Employees
Senior level
4,500 Employees
Senior level
Cloud • Digital Media • Machine Learning • Mobile • Software • Design
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.
Top Benefits:
401-K
401-K Matching
Company Equity
+56 More
12 Hours Ago
Austin, TX, USA
Remote
9,500 Employees
144K-231K Annually
Mid level
9,500 Employees
144K-231K Annually
Mid level
Cloud • Information Technology • Productivity • Security • Software
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.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+59 More
2 Days Ago
United States
Remote
7,500 Employees
130K-210K Annually
Senior level
7,500 Employees
130K-210K Annually
Senior level
Cloud • Information Technology • Sales • Security • Cybersecurity
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.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+44 More

Featured Jobs

20 Days Ago
2 Locations
Remote
1,500 Employees
160K-222K Annually
Senior level
1,500 Employees
160K-222K Annually
Senior level
Artificial Intelligence • Fintech • Machine Learning • Social Impact • Software
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.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+56 More
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