Top Machine Learning Jobs in Dallas, TX
Design, develop, and program methods, processes, and systems to analyze big data sources and generate actionable insights. Collaborate with product and service teams to identify questions and issues for data analysis and experiments. Develop software programs, algorithms, and automated processes to cleanse and evaluate large datasets. Communicate insights and findings to stakeholders.
Join Altice USA's Data Science team as a Machine Learning Engineer to deliver AI applications for various business units. Work on end-to-end solutions leveraging AI and ML principles, consult with stakeholders, analyze data, manage projects, share insights, and stay updated with industry trends.
Design, build, and enhance batch and real-time inference services and tooling that support machine learning use cases. Collaborate with ML modelers to encourage adoption of new tools and technologies and plan for future needs of the ML teams.
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Lead the development of AI and Machine Learning solutions to improve enterprise services user experience and workflow efficiency. Collaborate with a team of researchers, scientists, engineers, and product managers to build innovative solutions for enterprise customers around the world.
Design, develop, and implement machine learning algorithms and models, collaborate with data scientists, deploy machine learning models into production systems, conduct hyper parameter optimization, research and analyze data sets, communicate AI capabilities, collaborate closely with cloud and SRE teams.
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
Machine Learning Engineer responsible for developing production machine learning algorithms and recommendation systems. Collaborates with Data Scientists and Product Managers to enhance user experiences and provide valuable input into functional design. Preferred experience in using machine learning for recommendations and personalization.
As a Senior Engineering Manager, you will lead a team of engineers to build Dropbox's AI offering, Dash. You will drive product monetization and revenue generation while fostering a collaborative culture. Your responsibilities include team development, decision-making based on data insights, and contributing to technical and product strategies. The role requires a strong background in software engineering, distributed systems, and backend infrastructure. Preferred qualifications include a PhD in Computer Science and experience in machine learning.
Senior Software Engineer focused on ML Infrastructure at Thumbtack. Responsible for centralizing, standardizing, and evolving machine learning infrastructure capabilities. Collaborate with engineers, scientists, and product managers to execute on the shared vision for generative AI, feature platforms, model deployment, and monitoring.
Partner with cross-functional team to deliver customer-oriented data science solutions. Utilize Python and various technologies to analyze large volumes of data and build machine learning models. Excellent technical skills and ability to think creatively are required. Minimum of 2 years experience in data analytics and machine learning.
Top Companies in Dallas-Fort Worth, TX Hiring Data + Analytics Roles
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