Top Machine Learning Jobs in Mexico City

As a Senior Machine Learning Engineer at Atlassian, you will develop and implement advanced machine learning algorithms, collaborate with various teams to enhance AI functionalities across products, and guide junior engineers. Your role includes designing architectures, conducting model evaluations, and ensuring effective AI integration throughout the organization.

As a Director of Engineering in Machine Learning at Waymo, you will manage multiple teams, drive technical vision, and push the boundaries of deep learning to tackle complex autonomous driving challenges. Your focus will be on innovation in robotics while fostering collaboration across the organization.

The Staff Machine Learning Engineer will lead projects within the Square Conversational AI team, focusing on building scalable machine learning solutions. Responsibilities include collaborating with business leaders, developing ML products, mentoring team members, and overseeing the entire ML lifecycle from data collection to production.

The Senior Data Scientist will lead complex analyses using machine learning and data science techniques to derive insights from structured and unstructured data. Responsibilities include mentoring other data personnel, applying advanced analysis methods, and delivering insights to support Takeda's objectives in healthcare, vaccines, and R&D.

The ML Research Scientist will lead research projects enhancing the Genesis AI platform in generative modeling for molecular systems, conduct large-scale experiments, and mentor junior team members while contributing to the research community through publications.

As a Data Scientist Lead Consultant at Arity, you will develop and optimize machine learning algorithms to enhance the marketing platform using large datasets. Responsibilities include making key technical decisions, collaborating with cross-functional teams, and influencing business optimization strategies that drive revenue growth.

The Staff Machine Learning Engineer will develop new AI capabilities, enhance code quality, collaborate with cross-functional teams, and manage the development process to deliver efficient data-driven business solutions. This includes hands-on design, documentation, and ensuring high-quality code delivery in a dynamic environment.

As a Staff Applied ML Scientist, you will develop advanced machine learning algorithms to generate insights from large-scale computer networks, specifically focusing on cybersecurity issues. Your role involves utilizing state-of-the-art machine learning and graph learning techniques, fine-tuning LLMs, and building scalable ML products that enhance security policies for users.

As a Machine Learning Engineer, you will enhance our content recommender system, create machine-learning features, build and deploy models, and work collaboratively with data engineers and other teams to improve performance and gather insights into customer behavior.

The Senior Machine Learning Engineer will develop and implement scalable machine learning models, focusing on ranking and recommendation systems. Responsibilities include conducting A/B tests, analyzing data, collaborating cross-functionally, and building reusable libraries while maintaining thorough documentation.

The Machine Learning Engineer will collaborate with research scientists and partner laboratories to develop and improve end-to-end ML pipelines for multimodal models. The role involves training and serving robot foundation models while enhancing data infrastructure and contributing to significant publications.

As a Senior Software Engineer in the Central AI team, you will build and maintain core infrastructure to support machine learning engineers and data scientists. Your role involves solving complex infrastructure challenges, leading projects, and collaborating with other teams to ensure effective AI integration.

The Senior Scientist in Machine Learning will develop generative models and algorithms for protein design, scale systems using GPU resources, and collaborate with both computational and wet lab teams to create new therapeutics. The role also involves engineering machine learning systems for large-scale applications and presenting research findings.

The Senior Machine Learning & Computer Vision Engineer will lead efforts in building computer vision models for 3D dental scans, develop ML models for generative AI tasks, and collaborate with teams to enhance product offerings using massive datasets. The role emphasizes establishing best practices in MLOps and delivering rapid value to customers.

The Machine Learning Infrastructure Engineer will drive ML infrastructure and operations, collaborating with ML Engineers and Data Scientists to support model development and deployment. Key responsibilities include building scalable infrastructure for model lifecycle management, creating an internal training platform, and deploying data stores for batch pipelines and real-time recommendations.

The Lead Data Science Analyst will manage advanced analytics initiatives, focusing on credit risk and home loans servicing. The role involves developing machine learning algorithms, collaborating cross-functionally to deliver insights, and creating reports and dashboards to monitor metrics. Additionally, the analyst will identify and implement efficiency improvements and continuously enhance their skills through training.

The Principal Machine Learning Engineer will drive the development and implementation of machine learning algorithms, collaborate with product and engineering teams, design architectures, conduct experiments, and guide emerging ML engineers, ensuring the effective integration of AI across Atlassian's products and services.