Top Senior Machine Learning Jobs

The Senior Machine Learning Engineer will lead ML projects from ideation to production, focusing on ranking and recommendation systems and collaborating with cross-functional teams for robust AI solutions.

Lead the technical strategy for machine learning modeling, manage production models, mentor ML experts, and enhance ML infrastructure.

As a Senior Machine Learning Engineer, you will develop high-performance services, innovate AI/ML applications, design algorithms, and collaborate closely with teams to optimize ad systems.

The Senior Machine Learning Engineer will develop high-performance services, innovate ad technologies, and collaborate with teams to optimize ad campaigns through AI and ML solutions.

The Staff Machine Learning Engineer will develop AI/ML applications, collaborate with teams to implement models, and leverage a variety of technologies to enhance Twilio's customer support operations.

As a Principal Machine Learning Engineer, you'll lead the design and development of AI systems, collaborate cross-functionally, and oversee the full AI development lifecycle for financial planning solutions.

Responsible for designing and optimizing VLSI circuits, translating requirements into data science problems, and building machine learning solutions. Collaborate on hardware design and integrate models into existing tools.

The ML Research Scientist will design Bayesian optimization frameworks, collaborate with lab scientists, and integrate ML models with experimental data.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

Lead the development of machine learning methods for AI-native metal manufacturing systems, focusing on integrating physical data with physics-based simulation.

The Senior Machine Learning Engineer will design, build, and scale ML models and pipelines, support production efforts, and collaborate with other engineers and data scientists to deliver real business value using AI solutions.

The Senior ML Systems Engineer will build and maintain the training framework for large-scale language models, focusing on distributed training and performance optimization.

Lead the development and deployment of large-scale machine learning models, optimize model performance, and enhance collaboration across teams while mentoring junior engineers.

As a Staff Applied ML Scientist, you will develop and maintain fraud detection models, conduct research on fraud types, and collaborate across teams to drive product development and real-time decision-making.

As a Senior Applied ML Scientist, you'll develop fraud detection models, research new fraud types, and write production code while collaborating across teams to enhance SentiLink's identity verification solutions.

The role involves designing and training ML models for sensor fusion, optimizing for deployment, and collaborating with teams to enhance perception capabilities for autonomous vehicles.

The Senior ML Engineer will build, deploy, and support machine learning models on AWS, collaborating with data scientists and maintaining deployment pipelines.

The Machine Learning Engineer will execute the full ML lifecycle, collaborating on model implementation and improving customer experiences through data-driven insights.

The Staff ML Engineer will architect, design, and develop software applications while ensuring the implementation of business requirements and technical documentation. They will collaborate with teams for project delivery, production support, and enhancements.

The Senior Software Engineer will develop high-impact machine learning solutions, optimizing logistics operations and integrating GenAI applications while managing model lifecycle at Uber Freight.

As a Senior Machine Learning Engineer, you will develop and deploy ML models for health data analysis, collaborating with cross-functional teams to ensure reliability and regulatory compliance.

The Senior Machine Learning Engineer will develop and deploy models for 3D reconstruction from videos, integrate CAD, and work with cloud infrastructures to ensure clinical accuracy.

Design and deploy scalable machine learning models, analyze data, and improve model performance in a collaborative environment.

As a Senior Machine Learning Engineer, you will build machine learning models, define processes for AI, and ensure the security of AI systems while collaborating with government sponsors.

Lead the end-to-end machine learning lifecycle for AI products, managing data pipelines and model development to optimize performance and accuracy in production.