Top Senior Level Machine Learning Jobs in Dallas, TX
Lead large-scale ML initiatives, develop AI/ML use cases, collaborate with stakeholders, leverage cloud-based architectures, evangelize best practices, recruit top talent.
Lead and oversee ML projects, drive strategic planning, and collaborate cross-functionally to produce high-quality software artifacts for ServiceNow's AI Platform.
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.
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.
Shape the future direction of the organization by leveraging the latest advancements in AI/ML. Collaborate with cross-functional teams to build and iterate on large-scale Machine Learning systems. Contribute to the technical strategy for the machine learning lifecycle.
Seeking a Senior Machine Learning Engineer passionate about building impactful and engaging ML products. Responsible for building and deploying ML models, introducing new infrastructure, and collaborating with peers to bring new features into production. Must have 5+ years of experience in ML engineering or data science.
Responsible for leading the use of data to make decisions, development of machine learning algorithms on geospatial data, assisting in the recruitment and mentorship of junior data scientists, managing medium to high complexity projects, and collaborating with cross-functional teams to create innovative products.
Lead data and analytics strategies, collaborate with customer leaders, support business development efforts, plan and deliver initiatives, mentorship, and entrepreneurial contributions.
Lead Machine Learning Engineer at PMG, responsible for developing and implementing ML models for digital advertising performance analysis and audience targeting. Lead data-driven projects, innovate scalable ML solutions, establish evaluation frameworks, and mentor a team of ML engineers. Requires Master's or PhD in relevant field, 5+ years of ML experience, proficiency in Python and ML libraries, and expertise in predictive modeling and AI systems.
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