Top Machine Learning Jobs

The role involves developing intelligent algorithms for AI models, optimizing ML processes, and supporting innovation labs for national security applications.

As a Senior Machine Learning Engineer, you'll collaborate on AI and ML projects, develop robust solutions, and validate algorithms for space applications.

As a Senior Machine Learning Engineer, you will collaborate on ML and AI projects, develop solutions, and deploy algorithms for space systems.

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 designing and deploying risk models, enhancing credit and fraud models, and integrating advanced ML technologies. Responsibilities include collaboration, monitoring model health, and leading operational excellence.

The Machine Learning Engineer will design, build, and ship production-grade AI systems, collaborating with teams to optimize workflows and evaluate AI results.

The Machine Learning Engineer will train, fine-tune, and deploy ML models for parsing unstructured data, and build data pipelines for product integration.

The ML Research Engineer will develop training pipelines for atomistic simulation models and collaborate with researchers to optimize training workflows.

Develop, train, and optimize ML models using Python and PyTorch; deploy and maintain ML models in production; collaborate with teams to turn business problems into ML solutions.

Design and maintain scalable ML models for logistics. Own end-to-end projects and collaborate with teams to deliver impactful customer features.

As a Machine Learning Engineer/Scientist, you will develop ML systems for cryopreservation research, manage data pipelines, and deploy models for scientific insight.

The Senior Machine Learning Engineer will design, implement, and optimize machine learning models, collaborating with teams and providing mentorship.

Assist in developing, implementing, and monitoring machine learning models while collaborating with teams to learn and apply AI/ML concepts.

The role involves designing and developing machine learning infrastructure and models, consulting on best practices, and building scalable services for AI integration.

As a Senior Machine Learning Engineer, you will design ML infrastructure, build AI features, and collaborate with cross-functional teams while managing large data sets.

Develop optimization algorithms for ad personalization, integrate ML model predictions, translate findings for stakeholders, and A/B test features.

The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.

The Machine Learning Engineer will design, develop, and maintain production machine learning models and algorithms, ensuring their efficiency and reliability in deployment.

The ML Research Engineer will develop and train embedding models for a search engine, focusing on novel transformer architectures and dataset creation.

As a Machine Learning Research Engineer, you will research and train models, build agents using proprietary algorithms, and apply techniques to real enterprise datasets.

The Machine Learning Engineer will design, develop, and deploy ML models using Google Cloud tools, focusing on Document AI and Vertex AI, ensuring scalable applications and efficient performance.

As a Staff Learned Behaviors ML Engineer, you will lead the development of reinforcement learning behavior models for autonomous trucks, define data strategies, mentor other engineers, and drive best practices in model development.

Lead the design and deployment of E2E ML architectures for autonomous driving, focusing on datasets and system intelligence improvements. Mentor teams and establish evaluation frameworks.

The Staff Machine Learning Engineer will design, develop, and optimize machine learning applications, mentor junior engineers, and conduct research to enhance Quantcast's ML systems.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.