Top Machine Learning Jobs in Tijuana

The Data Owner Lead will manage data quality and requirements for business applications, collaborate on data strategies, and support analytics and operations.

Quantitative Research Engineers at Citadel develop technology to support trading strategies, create research platforms, and work collaboratively in a technical environment.

The Senior Manager, Quantitative Analysis will validate economic forecasting models, enhance technical skills, and influence business strategies using quantitative analysis.

The Vice President Data Owner Lead will shape data strategy, oversee business data management, and ensure data quality and compliance across operations.

The Home Lending Portfolio Owner leads data strategy, governance, and integration, enhancing product delivery and analytics to achieve strategic objectives and protect data quality.

As a Fraud Data Analyst, you'll analyze data to prevent device fraud, enhancing detection strategies through Python, SQL, and visualization tools, while collaborating with teams to develop fraud prevention rules.

Lead innovation in predictive modeling, design ML solutions, collaborate with stakeholders, and enhance value measurement systems to drive Block's growth.

The Senior Manager, Product Analytics will lead a team to analyze product performance, drive data-driven strategies, and collaborate with cross-functional teams to enhance customer experience.

The Senior Internal Auditor will handle audit engagements, evaluate management controls, communicate findings, and drive efficiencies in processes through technology.

As a Senior Applied Scientist, you will develop and deploy large language models, collaborate on AI projects, and improve AI features for Datadog.

Lead and mentor a team of Machine Learning engineers to design, deliver, and optimize ML systems that impact business revenue while collaborating with cross-functional teams.

Develop and implement software solutions for automated trading systems, working with quantitative researchers on complex financial challenges.

As a PhD intern, utilize machine learning and AI to analyze data, implement algorithms, conduct research, and back-test models

Develop and implement software solutions for automated trading systems, utilizing advanced statistical techniques to solve financial challenges.

As a Quantitative Research Engineer Intern, you will develop and implement automated trading software while collaborating with the Quantitative Research team to solve complex financial challenges.

As a Quantitative Research Engineer, design, develop, and implement software for automated trading systems using advanced statistical techniques. Collaborate with researchers and prioritize business needs.

The role involves delivering timely and accurate securities reference data, resolving data issues, and participating in stakeholder meetings to enhance product offerings.

As Quant Analytics VP, manage data analytics projects, collaborate with various teams, and drive insights to improve customer experience. Lead a team in strategic analysis and solution development, enhance analytics processes, and communicate findings to executives.

This role leads advanced analytics initiatives using machine learning and statistical techniques to solve business problems and optimize performance metrics.

Lead a team of data scientists to deliver innovative machine learning solutions for a data-driven financial product at Capital One.

As a Research Scientist, you will develop and deploy ML models, enhance valuation systems, and collaborate on data integration for improved decision-making.

Join the AI team as an ML Engineer to integrate AI technologies into Notion's product, enhancing model accuracy and deploying innovative solutions.

The role involves gaining experience in supply chain analytics, working on data engineering, business dashboards, and predictive models, while engaging in project work and mentorship.

This co-op position involves supporting Supply Chain Analytics by developing data engineering solutions, business dashboards, and predictive models while gaining industry exposure and mentorship.

As a Manager of Quantitative Analysis, you will lead model audits, apply machine learning and statistical methods to enhance modeling practices, and communicate insights effectively across teams.