Top Remote Machine Learning Jobs in Houston, TX

The fellow will conduct original security research on AI/ML systems, design attack methodologies, develop defensive techniques, and publish findings.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Staff Machine Learning Engineer, you will lead the design, implementation, and optimization of machine learning models, collaborate cross-functionally, and drive AI strategy to enhance SailPoint's identity security solutions.

As a Product Owner, you'll bridge the market and engineering teams, define product specifications, conduct market/user research, and drive product execution in Upstream Oil & Gas.

Lead the transformation of Clinical and Customer Operations at Hims & Hers by driving technology and AI strategy while managing teams, defining product vision, and ensuring alignment with business goals.

The Senior Product Manager will define the vision and strategy for Brand Ads & Safety, collaborate with cross-functional teams, and drive product execution to enhance brand advertising on Reddit.

As a Staff Software Engineer, you will lead engineering teams, collaborate cross-functionally, drive technical initiatives, and contribute to code while ensuring system resiliency.

As an Enterprise and Analytics Intern, you'll develop data science algorithms, collaborate with teams, streamline operations, and analyze data to support projects meeting user needs.

The role involves driving data governance strategy and practices across the Bank, collaborating with cross-functional teams, leading data quality initiatives, and mentoring analysts while ensuring compliance with data governance standards and improving data quality.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

Manage and optimize GPU capacity and compute resources, develop data models and reporting systems, collaborate across teams to improve efficiency and meet business needs.

The Senior Machine Learning Engineer will develop models and algorithms for NVIDIA's DGX Cloud, focusing on anomaly detection, optimization, and forecasting. Responsibilities include analyzing data, collaborating with teams, and delivering impactful machine learning solutions.

The role involves developing predictive models for catastrophe risk using advanced analytics, machine learning, and statistical techniques. Responsibilities include analyzing large datasets and collaborating on financial risk modeling to enhance accuracy. The individual will document processes and ensure consistent modeling methodologies are upheld.

Develop and productionize a next-gen Dispatch System, build ML models, automate processes, and collaborate with various teams while mentoring other engineers.

The Principal Product Manager will oversee AI/ML initiatives, drive product development, translate strategy into technical specs, and manage product lifecycle.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

As a Senior Data Scientist at Ensemble, you will develop advanced AI and machine learning models, focusing on generative AI and predictive analytics to improve healthcare outcomes.

As a Solutions Architect, you will enable and support DGX Cloud Partners, enhancing their onboarding experience while providing technical expertise and fostering customer satisfaction with NVIDIA's AI platform.

The Senior Applications Engineer will work with research teams globally to adopt GenAI software, optimizing AI models, and providing engineering feedback on improvements for scientific research.

The role involves leading AI networking projects, developing innovative solutions, and optimizing infrastructure by collaborating across teams. Requires extensive experience in AI, machine learning, and systems software development.

Lead the Relevance team at Reddit to enhance search systems. Design large-scale systems for relevant search experiences, mentor engineers, and influence ML and Search strategies.