Top Machine Learning Jobs in San Antonio, TX

This role involves leading the development of AI/ML technologies and platforms, designing architecture, implementing infrastructure, collaborating with various teams, managing project roadmaps, and driving the technical vision and strategy of AI/ML within the organization. Additionally, it encompasses mentoring engineering teams and ensuring continuous improvement in quality, security, and performance metrics.

phData is looking for Sr Machine Learning Engineers to design and create environments for data scientists, work within customer systems, define deployment approaches, reveal the value of data, partner with data scientists, and create operational testing strategies. Apply for future opportunities at phData even if there's no current role available.

The Product Manager will expand Zingtree's AI-based product portfolio, driving new product development and enhancements. Responsibilities include collaborating with engineering, understanding customer needs, crafting business plans, and staying updated on AI technology and market trends.

As a Machine Learning Engineer for the Advertiser Budget Optimization team at Reddit, you will build and optimize advertising budget systems using advanced techniques, collaborate on technical designs, and analyze experiments to enhance monetization efficiency. Your role involves working with real-time auction data and engaging with various teams for system improvements.

As a Senior Manager in AI/ML Engineering, you will lead teams of machine learning engineers and data scientists to deliver scalable AI and machine learning solutions. You will advocate for engineering best practices, coach engineers, and drive innovative solutions to enhance Nike's supply chain with advanced analytics.

The ML Engineer - Inference at Symbl.ai will develop and optimize deep learning models for real-time communication applications, focusing on the Nebula language model. Responsibilities include designing algorithms, integrating models into production, optimizing for various environments, and evaluating model performance, all while collaborating with cross-functional teams.

The Principal Machine Learning Engineer will lead the development of AI/ML solutions for Twilio's communication platform, focusing on NLP and real-time decision-making. Responsibilities include architecting scalable ML systems, collaborating on strategic initiatives, and ensuring compliance with data security and ethical AI practices.

The Solutions Architect - AI/ML at Snowflake will leverage expertise in data science and cloud architecture to enhance customer engagement and implement solutions for AI/ML workloads. Responsibilities include advising on best practices, building ML pipelines, and collaborating with various teams to optimize Snowflake's capabilities for clients.