Top Machine Learning Jobs in Tijuana

Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and prioritize duties to build robust products. Strong collaboration and problem-solving skills required.

The Senior Data Scientist will focus on fraud analytics, applying statistical modeling and machine learning to detect fraud in consumer-facing applications. Responsibilities include analyzing large datasets, developing predictive models, and creating real-time monitoring systems to identify and combat fraudulent activities.

The role involves productionizing machine learning applications, participating in technical design and development, solving complex problems with code, collaborating in an Agile team, and ensuring best practices in ML and AI governance. Responsibilities include model development, deployment, maintenance, and monitoring.

The Senior Manager of Machine Learning Engineering will lead a team dedicated to developing machine learning applications and systems at scale. Responsibilities include designing and implementing ML architectural designs, reviewing model and application code, and ensuring high availability and performance. The role requires collaboration with cross-functional teams, maintaining models in production, and adhering to best practices in machine learning engineering.

The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies supporting Capital One's Data Strategy. Responsibilities include guiding ontology-based data product deployment, defining actionable problem statements, prioritizing ontological roadmaps, leveraging technology and architecture vision, and influencing stakeholders. They will also mentor junior associates and contribute to team culture while focusing on data integration and industry developments.

Join the Performance Models & Machine Learning Systems team at Squarespace as a Data Scientist. Collaborate with cross-functional teams to develop and deploy machine learning models for fraud detection and customer intent prediction. Stay ahead of emerging threats by monitoring and analyzing evolving tactics used by bad actors.

As Sr. Director of Analytics, you will lead analytics initiatives to maximize the effectiveness of clients' media and digital investments. Responsibilities include developing analytics strategies, overseeing performance measurement, and generating actionable insights to enhance user experiences.

As the Sr. Director of Analytics, you will spearhead analytics initiatives, drive implementation of analytics frameworks, and lead a team. Responsibilities include improving media performance, user experiences, and marketing effectiveness through data-driven insights and analytics strategies. You will have a strong background in data science and business leadership, guiding clients to enhance their digital investments and outcomes.

In this role, you will build and evolve an AI platform by developing next-generation Large Language Models for enterprise applications. Responsibilities include applying ML methods to real-world problems, conducting LLM benchmarking, data collection, collaborating with cross-functional teams, and contributing to innovative developments and research publications.

The Director of Data Science & Analytics will lead a team to drive strategic insights through data analytics in the Amazon marketplace. Responsibilities include leveraging technology for innovative solutions, optimizing reporting tools, conducting market research, fostering a data-driven culture, and ensuring compliance and data integrity. This role involves collaboration across multiple teams to identify new opportunities and improve business strategies.

As Director of Data Science at Chewy, you will lead a team to enhance customer and advertiser experiences via advanced machine learning solutions. Responsibilities include model development, collaboration with product teams, publishing research, setting performance standards, and mentoring staff.

The Applied Scientist will use machine learning and data science to enhance the shopping experience via sponsored ads, collaborating with product and engineering teams. Responsibilities include developing predictive models, optimizing bidding and auction algorithms, and mentoring junior scientists while communicating findings to leadership.

The Senior Applied Scientist will lead the development and deployment of machine learning models to enhance the advertising experience for Chewy, optimizing product selection, ranking, and relevance. Responsibilities include collaboration with product and engineering teams, driving applied science solutions, publishing research, and mentoring junior scientists.

As a Senior Machine Learning Engineer, you will develop and optimize recommendation algorithms for Disney's streaming platforms, collaborate with cross-functional teams, maintain existing algorithms, and improve personalization strategies to enhance user experiences.

The Manager, Data Integration and Modernization will lead teams to develop scalable data products and platforms while driving data engineering best practices. Responsibilities include designing data solutions, managing high-performing teams, collaborating for automation, and modernizing existing tech stacks in alignment with business strategies.

The Data Architect will work with Data Product teams to guide data ingestion, engineering, and modeling, ensuring quality data products. Responsibilities include designing data architecture, collaborating with multiple teams, and implementing data quality standards, while driving innovation in data-centric solutions.

The Data Architect will embed themselves in Data Product teams to support data ingestion, data engineering, design, data modeling, and machine learning. Responsibilities include leading data analysis, designing comprehensive business data products, ensuring data design and security compliance, and empowering Data Product Squads for better design paths.