Top Machine Learning Jobs in Tijuana

As a Principal Machine Learning Engineer, you will drive the technical roadmap of Snap's Ad Marketplace and Pacing teams, design and scale machine learning models for optimal ad delivery, and collaborate with cross-functional teams. You will stay updated on the latest in machine learning to solve complex problems, advocate for best practices, and provide technical direction to influence the ML community.

As a Data Science Manager, you will lead a team to develop innovative credit and lending models, enhance financial inclusion, and improve risk assessment. You will drive cross-functional initiatives, manage advanced machine learning projects, and ensure compliance with legal standards while aligning with Chime’s business goals.

As the AI/ML Risk Guide for the Enterprise AI/ML Program, you'll manage various risk-related deliverables, work across teams, develop risk mitigation plans, and maintain senior-level communications to enhance operational safety and compliance for Capital One.

As a Manager in Cyber Risk & Analysis, you will oversee risk management for emerging technologies and collaborate across teams to enhance customer experience. Responsibilities include developing risk strategies, managing deliverables, and improving risk management approaches within a dynamic environment.

As a Senior Applied Scientist at Chewy, you will lead the deployment of machine learning and data science to enhance shopping experiences, develop new models, and influence product and engineering strategies. You will mentor junior scientists and present research findings to business leaders.

Lead the Model Engineering team to develop state-of-the-art ML runtime environments, ensuring high availability and low latency for ML model deployment. Collaborate with product stakeholders to create innovative scalable platform solutions while mentoring team members and fostering a culture of inclusion and collaboration.

The Staff Machine Learning Engineer will architect and scale recommendation systems for the streaming app Max, collaborating with various teams to enhance core machine learning infrastructure and projects. The role emphasizes leadership in promoting experimentation, data-driven innovation, and mentoring engineers while ensuring high standards in technical work and project execution.

The Data Scientist III (ML Engineering) will focus on building machine learning solutions to enhance Cedar’s healthcare payment platform. Responsibilities include conducting deep data analyses, developing and optimizing ML-powered features, building and optimizing data pipelines, and measuring model performance for continuous improvement.