Top Machine Learning Jobs in Tijuana

The Senior Machine Learning Engineer will build and scale personalization and search platforms for the Max streaming app. Responsibilities include developing recommendation systems, collaborating with teams to optimize search and personalization, coding in various languages, and driving improvements in performance and operations for over 100 million users worldwide.

The Senior Staff Machine Learning Engineer at CNN will lead the design and evaluation of machine learning models and systems, focusing on open-source projects and methodologies. Responsibilities include mentoring engineers, collaborating across teams to drive ML projects, and applying advanced NLP techniques, while advocating for innovation based on data-driven insights.

The Credit Analytics Manager will develop and optimize the cash advance product, implement risk models, collaborate with finance on credit policies, and work with product teams to launch features. This role requires a passion for leveraging data to fuel growth and improve customer well-being, while leading various credit and product testing initiatives.

Empower seeks an experienced analytics leader to oversee Credit and Data Science functions for international markets in Latin America and South East Asia. The role includes developing risk models, launching innovative products, and understanding consumer behaviors to drive business growth and improve customer financial well-being.

The Chief Scientist will lead research and development in Edge and Spectral AI, focusing on innovative solutions for the Defense sector. Responsibilities involve overseeing projects, technical leadership, customer engagement, and creating new business opportunities. Success requires expertise across multiple technical fields and a proactive approach to advancing technology.

The Director of Data Science will lead a team to enhance customer and advertiser experiences through machine learning models at Chewy. This involves developing data-driven solutions to improve product selection and optimization while publishing research and mentoring junior team members.

The Data Scientist will research, prototype, and build AI and data-enabled tools for various space applications. Responsibilities include applying machine learning techniques, collaborating with teams on projects, and contributing to innovations in national security and civil space missions.

The AI Center Technical Manager will lead a team of ML engineers, focusing on AI model deployment and operationalization. Responsibilities include developing frameworks for AI operations, overseeing the deployment of ML solutions, ensuring code quality through DevSecOps, and collaborating with data engineers and scientists. The role requires hands-on coding and leadership to foster team growth and innovative AI practices.

As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, enhance ML engineering platforms, implement ML Ops, and write production-ready code. You will collaborate with teams to deliver projects, participate in scrum meetings, and contribute to evaluating new technologies.

As a Machine Learning Engineer, you will develop predictive models for manufacturing processes, work with data mining, clean data, and deploy machine learning models. You will collaborate closely with engineering teams and utilize both structured and unstructured data to enhance production systems.

As a Machine Learning Engineer at Clay, you will drive the integration of ML features into the product, prototype and productionize models, collaborate with engineering teams, and develop data pipelines to support ML systems. You will need a solid understanding of NLP and deploying models in user-facing environments.

As a Staff Machine Learning Engineer on the Risk team, you will develop machine learning solutions to mitigate risk and fraud while collaborating with various stakeholders to balance business loss and customer experience. You will leverage extensive transaction data to understand customer behavior and create innovative products.

The Staff Data Scientist in Dashboard Analytics will leverage data engineering, business intelligence, and machine learning to optimize growth, engagement, and decision-making within the Square ecosystem. Responsibilities include building KPIs, collaborating with engineering, and communicating insights to partners.

As a Senior Machine Learning Engineer, you will build the Cashbot customer support chatbot and create modeling pipelines while collaborating with various teams to enhance ML models that improve customer assistance. Your focus will be on developing intelligent automation tools and refining ML systems using cutting-edge technologies.

The Senior Machine Learning Engineer will collaborate with product and marketing teams to create personalized experiences for Cash App users by building and deploying machine learning models, focusing on recommendations and search systems. They will utilize a variety of machine learning algorithms and analyze data to drive growth and engagement.

As a Senior Machine Learning Engineer on the Risk team, you will develop analytical and machine learning solutions focusing on mitigating risk and fraud in Cash App's products. Collaborate cross-functionally and leverage data to improve customer experiences while balancing financial and regulatory risks.

As a Senior Data Scientist, you will analyze complex business problems using advanced statistical methods and machine learning techniques. Collaborating with various teams, you will develop predictive models, design experiments, and communicate insights to stakeholders to drive revenue for the organization.