Top Senior Machine Learning Jobs

As a Staff ML Software Engineer, you will lead the development and deployment of machine learning applications, leveraging your expertise to drive software architecture decisions, maintain cloud infrastructure, and collaborate within a small, agile team focused on geospatial challenges related to climate change.

The Senior Machine Learning Engineer will manage the lifecycle of ML models, transform prototypes to production code, build training pipelines, and monitor system performance.

You will build frameworks for LLM-powered agents, design reinforcement learning approaches, lead development of scalable evaluation systems, and mentor other engineers while writing robust code for enterprise-grade assistants.

Lead team efforts in developing machine learning evaluation metrics and algorithms, enhance generative models, and ensure project alignment across multiple teams.

Pioneering machine learning solutions for the defense sector, developing and deploying production-grade ML models, tackling complex data challenges, and collaborating with engineers.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

As a Senior ML Software Engineer, you will lead the full-stack implementation, drive the integration of advanced features, and collaborate on AI technologies at Gemini impactfully.

As a Senior Machine Learning Engineer, you will drive AI initiatives, collaborate across teams, and develop scalable ML infrastructure to improve healthcare.

The AI/ML Engineer will design, develop, and implement scalable AI solutions for a DoD client, requiring expertise in AI/ML technologies and integration with existing systems.

The Machine Learning Performance Engineer will build training and inference pipelines, enhance deep learning frameworks, improve performance, and collaborate with researchers and engineers to optimize trading systems.

Design and implement machine learning models to enhance user experiences, collaborate with teams, and contribute to scalable ML solutions.

As a Senior Machine Learning Engineer, you will develop and optimize AI-powered features, enhancing insights from diverse data types using advanced ML and NLP techniques.

As a Senior Data Scientist/Machine Learning Engineer, you'll develop and deploy machine learning solutions, engage with clients, and optimize data processes.

This role involves developing AI and ML solutions, modernizing client systems, and ensuring efficient software engineering practices with Agile methodology. You'll work on full software development lifecycle and participate in automation optimization.

The AI and ML Software Engineer develops AI and ML solutions, modernizes client systems, and works with automated testing tools.

Lead the AI/ML team to develop and maintain machine learning models while collaborating with cross-functional teams to implement solutions for real-world challenges.

As a Machine Learning Engineer, you will develop, deploy, and maintain ML models while collaborating on AI strategies for national security.

In this role, you will design and develop AI and machine learning models, maintain data pipelines, evaluate model performance, and collaborate with cross-functional teams to integrate AI capabilities into web-based applications.

As a Senior Machine Learning Engineer, you'll build infrastructure for ML, develop deployment models, integrate LLMs, and support research teams while ensuring code quality.

As a Lead Machine Learning Engineer, you will operationalize ML models, collaborate with teams, solve complex problems, optimize data pipelines, and implement best practices in ML deployment.

The Senior AI/ML Engineer will develop and improve analytical tools, approaches, and architecture for scalable AI and machine learning solutions, collaborating with engineers and data scientists on innovative projects.

As a Senior Machine Learning Engineer at PayPal, you will develop and optimize ML models, preprocess large datasets, and deploy solutions to enhance fraud detection capabilities while collaborating with cross-functional teams.

The Senior ML Engineer will develop AI solutions for healthcare data, collaborating with various teams, contributing to AI strategy, mentoring, and maintaining expertise in AI technologies.

The role involves developing advanced machine learning algorithms, solving complex optimization problems using reinforcement learning techniques, and leading technical projects while optimizing solutions for operational efficiency.

Design and develop scalable AI capabilities, integrating ML models and APIs. Collaborate with teams to ensure solutions meet security and performance standards in cloud environments.