Top Machine Learning Jobs in Mexico City

The Data Scientist I will develop algorithms for The Trade Desk's real-time bidding platform, focusing on deep learning projects. Responsibilities include working with large datasets, ensuring low latency and high throughput, as well as collaborating with engineering teams throughout the product lifecycle.

As a Senior Machine Learning Engineer for Mozilla's 0din program, you will conduct research, develop security tools for LLMs, engage with researchers, and present findings effectively. Your work will play a role in ensuring the safety of AI technologies by identifying vulnerabilities and collaborating with the community.

The Senior Machine Learning Engineer will advance AI security by creating innovative processes to harden security in machine learning applications, engaging directly with researchers, and producing technical content for various audiences. The role involves independent research, community engagement, and driving innovation in the field of AI security.

The Senior Data Scientist leads the design and development of AI solutions, evaluates algorithms, communicates insights, develops customized models, identifies data-driven opportunities, and maintains expertise in advanced technologies to meet business objectives and enhance productivity.

As a GenAI Research Scientist at Databricks, you will advance AI technologies by innovating techniques that enhance large-scale LLMs. You will work collaboratively to develop new methods to improve model capabilities and communicate findings, all while ensuring user success and democratizing AI access.

The AI Solution Manager role involves leading C3 AI teams to deliver AI/ML applications, collaborating with federal agencies to identify use cases, and contributing to product strategy. Responsibilities include project management, technical problem solving, and delivering presentations to senior stakeholders, with frequent travel required.

The Staff Machine Learning Engineer will research, prototype, optimize and deploy perception algorithms for autonomous vehicles. Responsibilities include training large-scale deep learning models, optimizing compute resource utilization, and collaborating with software and test teams on development.

The Staff Machine Learning Engineer will design, train, and deploy large deep learning models using data from millions of vehicles to enhance autonomous driving capabilities. This role includes establishing advanced ML infrastructure and improving model training/inference processes.

Design, train, and deploy large deep learning models utilizing vast amounts of data from a fleet of vehicles, working alongside engineers and scientists to advance autonomous driving solutions.

The Machine Learning Engineer will fine-tune and maintain large language models for Humanoid Robots and Autonomous Driving Cars, develop training and deployment pipelines, leverage large-scale datasets, explore synthetic data generation, and collaborate with teams to align on product needs.

The Senior Staff Machine Learning Engineer will design, train, and deploy large deep learning models to enhance autonomous driving capabilities. This role involves establishing ML infrastructure for large model training and inference, and requires collaboration with software engineers and research scientists to advance state-of-art machine learning models.

The Machine Learning Engineer will design, train, and deploy large deep learning models utilizing extensive data from a fleet of vehicles, focusing on enhancing model training and inference for autonomous driving solutions.

The Senior Machine Learning Engineer will develop and optimize perception algorithms for autonomous vehicles, focusing on deep learning and computer vision. Responsibilities include training models on GPU clusters, improving algorithms, and collaborating with software teams.

As a Staff Machine Learning Engineer, you will design deep learning algorithms using vast data from vehicles, adopt recent advancements in machine learning, and collaborate with software developers to enhance the autonomous driving product.

The role involves designing deep learning algorithms for autonomous driving, working with labeled and unlabeled data from vehicles, and collaborating with developers to implement AI software systems and research advancements in machine learning.

As a Data Scientist at Figma, you will work closely with product teams to utilize data science methodologies to influence product strategy, enhance user experience, and optimize product development. Responsibilities include leveraging machine learning, designing experiments, and collaborating with cross-functional teams to analyze user behavior and inform decision-making.

As a Senior Staff Machine Learning Engineer, you will investigate and implement advanced AI methodologies to enhance productivity and automate workflows, work with cross-functional teams on AI integration, and mentor engineers in adopting AI technologies.