Top Machine Learning Jobs

Design and implement AI-driven features for claims synthesis, leveraging LLMs and statistical techniques, while ensuring system performance and accuracy.

Develop machine learning algorithms for scene understanding in autonomous vehicles. Collaborate on data strategy and enhance models for safe navigation in complex urban environments.

The role involves developing ML systems for enterprise workflows, focusing on user understanding, task prediction, and optimizing ML pipelines. Key responsibilities include designing scalable evaluation frameworks and collaborating with teams to deliver production-ready solutions.

Lead modeling strategies for AI Bots in League of Legends by developing and implementing ML systems, collaborating with teams, and ensuring player experience enhancement through advanced ML methods.

The Associate Machine Learning Engineer will develop and enhance machine learning models and features to optimize user experience, collaborating with senior engineers and data scientists.

As an Applied ML Engineer, you will build and scale data pipelines for video generation, ensuring data quality and optimizing preprocessing workflows.

As a Principal Machine Learning Engineer, you will develop distributed inference infrastructure, integrate with vLLM, and optimize inference workloads, mentoring fellow engineers along the way.

Design and develop machine learning models for AI-powered applications while collaborating with teams to achieve business objectives. Responsibilities include data preprocessing, model optimization, mentorship, and infrastructure management.

The AI/ML Engineer will develop synthetic training data, optimize AI/ML models, implement deployment strategies on constrained platforms, and enhance machine learning systems. They will also monitor model performance and manage improvements.

The role involves designing and scaling ML systems for prediction and recommendation, mentoring junior engineers, and leading projects.

The intern will conduct research on machine learning and driving behaviors, work with driving datasets, collaborate on deploying results, and publish findings.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Lead development and production deployment of advanced ML and time-series models for water and infrastructure systems, perform research in Physical AI, collaborate cross-functionally, communicate impact to stakeholders, and mentor junior data scientists.

Develop and improve machine learning models and systems for clinical outcomes. Lead ML initiatives, mentor teams, and establish best practices in AI. Collaborate across engineering, product, and design for data-driven solutions.

The intern will focus on developing and evaluating machine learning models for automated scoring of Spanish responses, collaborating with psychometricians and data scientists.

As a Machine Learning Engineer, you'll develop and integrate ML models, optimize performance, handle large-scale data and implement state-of-the-art techniques while ensuring compliance with KYC/KYB regulations.

The ML Engineer will build custom models and data systems for the AI platform, focusing on enhancing ML capabilities in the insurance domain and managing the full ML lifecycle including data pipelines and evaluation frameworks.

The Machine Learning Engineer will design and implement models and data pipelines for programmatic advertising, collaborating with data scientists to enhance ad performance.

Lead and develop the machine learning platform at RZR Global, focusing on production ML systems for real-time advertising, managing teams, and collaborating with engineering and product.

The AI/ML Engineer will develop synthetic training data, train and optimize AI models, and deploy them on constrained platforms, integrating solutions into robotics systems.

The AI/ML Engineer designs and deploys machine learning models, processes datasets, automates data pipelines, and supports testing in simulation environments.

Develop innovative ML/DL compiler technologies, optimize compilers for AI workloads, and collaborate with teams to enhance machine learning acceleration at NVIDIA.

Design and deploy machine learning models for personalized recommendations and search on Zillow's platforms. Collaborate with cross-functional teams to enhance user experience.

The Senior Machine Learning Engineer will develop and maintain ML infrastructure, deploy models, collaborate with teams, and mentor junior engineers.