Top Senior Machine Learning Jobs

The Machine Learning Scientist III will design, implement, and optimize AI solutions across travel product domains, collaborating with cross-functional teams on model pipelines and monitoring.

The role involves developing machine learning algorithms to enhance customer experience. Responsibilities include end-to-end ML lifecycle management, validating models, and collaborating with teams to address complex problems.

As a Senior ML Engineer for Payments, you will develop AI solutions for payment experiences, optimize transaction processing, and ensure system reliability while mentoring teammates and collaborating with cross-functional teams.

As a Senior Software Engineer at NVIDIA, you will design and implement inference software optimizations for AI applications using TensorRT, collaborating with deep learning experts to influence hardware and software design.

Design, build, and deploy scalable AI and machine learning solutions, leading full AI lifecycle, collaborating with teams, and ensuring systems align with client needs.

The Senior AI/ML Engineer will design, develop, and manage AI and ML systems that operate in production, focusing on model performance, data processing, and infrastructure. Responsibilities include lifecycle management, model evaluation, and cross-functional collaboration to enhance deployment and monitoring processes.

As a Machine Learning Engineer for Personalization and Recommendations, you'll design and implement ML models, develop scalable systems, collaborate across teams, and mentor engineers while enhancing learning personalization at Quizlet.

The role involves architecting hybrid game and machine learning systems, integrating ML into game development, and supporting teams throughout the process while maintaining quality guidelines and disseminating ML knowledge.

The role involves leading machine learning model design, AI development, data analysis, and enhancing digital workplace experiences at CVS Health.

Design, build, and deploy scalable ML models and data pipelines for prediction, anomaly detection, personalization, and automation. Own operationalization, monitoring, model evaluation, and integration with platform services at cloud scale.

Design and build predictive models and scalable ML systems focused on customer attrition. Collaborate with teams to integrate models and enhance performance while mentoring junior staff.

As a Senior AI/ML Engineer, you will design and develop advanced AI solutions for finance, focusing on ML and GenAI, ensuring compliance and operational efficiency.

The Senior AI/ML Engineer will design, develop, and deploy scalable ML systems focusing on LLM applications, collaborating with various stakeholders to enhance healthcare data insights.

The candidate will design and implement machine learning solutions, collaborate with data teams, optimize models, and ensure production readiness of ML systems.

Manage and mentor a team of machine learning and data engineers, overseeing ML model development, data pipelines, and collaborating with product teams on technical requirements.

The Machine Learning Engineer will develop and optimize models for processing tax documents, mentor juniors, and collaborate across teams.

Develop algorithms for networking and edge computing challenges using machine learning. Lead technical efforts, oversee software development, and foster customer relationships to secure business opportunities.

As a Senior Scientist, you will develop machine learning methods for biologics design, optimize large-molecule therapeutics, and work collaboratively with experimental teams to enhance drug development processes.

Develop and evaluate quantization and sparsity recipes for LLM inference, run large-scale post-training and quantization-aware experiments, build evaluation and numerics-debugging tools, collaborate with inference framework teams, and publish or upstream improvements to production inference libraries.

Join NVIDIA as a Senior Machine Learning Engineer focusing on humanoid robotics. Collaborate on projects involving humanoid loco-manipulation, contribute to foundation models, and implement algorithms for robot locomotion. Requires strong programming skills and significant robotics experience.

The Staff Machine Learning Engineer will lead ML initiatives, develop AI systems, optimize pipelines, and mentor team members to automate healthcare processes.

The Senior ML Engineer will design and build ML systems, optimize ML pipelines, implement RAG systems, collaborate with engineering teams, and contribute to ML infrastructure. Requires experience in shipping production ML systems and proficiency in modern ML tools.

Design, validate, and deploy scalable machine learning models and pipelines. Preprocess large datasets, monitor model performance, collaborate with cross-functional teams, and perform model validation and governance to support fraud detection, credit underwriting, and analytics.

The Senior Machine Learning Engineer will design, implement, and scale advanced foundation models, collaborate with researchers, and build AI systems. Requires hands-on experience with distributed training pipelines and proficiency in AI frameworks.

Develop and maintain visual analytics tools for AI/ML workloads, collaborating on visualization solutions and innovating methods to enhance workflows.