Top Senior Machine Learning Jobs

Lead the design and delivery of large-scale machine learning systems, mentoring engineers while driving technical strategy and collaboration across teams in AEC solutions.

Own the full ML lifecycle for ads bidding stack, developing models for auction optimization and collaborating with a team to enhance platform effectiveness.

As a Founding Engineer, you'll enhance AI/ML performance, build infrastructure for model training, and improve user experience at a fast-paced startup.

As a Foundry Automation ML Engineer at Intel, you will develop and maintain scalable ML solutions, automate pipelines, and optimize performance for AI models in semiconductor manufacturing.

Design, implement, train, evaluate, and deploy production-grade machine learning models and pipelines. Collaborate with cross-functional teams to translate product requirements into scalable ML solutions, monitor model performance, troubleshoot lifecycle issues, and mentor junior engineers.

Lead design, implementation, deployment, and maintenance of production-scale machine learning systems. Provide technical leadership, mentor engineers, translate product needs into scalable ML architectures, and drive best practices across data pipelines, modeling, evaluation, and monitoring.

The Senior Machine Learning Engineer will design and deploy ML models, mentor junior engineers, and contribute to project architecture, enhancing security applications.

As a Machine Learning Engineer, you will own the full lifecycle of ML from model development to production deployment, collaborating with teams to drive ML processes.

As a Machine Learning Engineer, you will build end-to-end ML systems for autonomous underwriting, collaborating with underwriters and engineers to advance ML capability.

The role involves developing AI/ML models to predict organoid growth and optimizing differentiation protocols through computational methods, collaborating with experimental teams.

Lead performance and accuracy evaluation for scientific ML models (especially atomistic modeling). Identify bottlenecks, design scalable solutions like model parallelism, test and maintain AI-for-Science software, collaborate with HPC and research teams, and contribute documentation and educational materials.

As a Staff Machine Learning Engineer, you'll build production-scale ML models for personalization and risk management, mentor junior scientists, and collaborate with cross-functional teams to drive impactful product features.

As a Senior Staff Machine Learning Engineer, you'll develop AI-driven solutions to optimize customer experiences through advanced ML frameworks, focusing on recommendations and personalization.

The Machine Learning Engineer will lead applied AI research initiatives, optimize deep learning architectures, collaborate across teams, and mentor others while ensuring model deployment aligns with MLOps constraints.

Develop and iterate machine learning models for complex datasets while collaborating closely with technical teams to shape long-term ML strategy.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

Lead development of machine learning models for drug discovery, integrating ML with molecular modeling to enhance molecular design and optimization approaches.

The Senior Engineer in Machine Learning will develop algorithms using machine learning techniques on biomedical datasets, prototype solutions, and collaborate with teams to ensure data quality and performance measures.

The Senior AI/ML Engineer will optimize data pipelines, develop AI systems, collaborate with teams, and ensure data accuracy. Requires extensive experience in machine learning and AWS.

Lead machine learning initiatives by developing, training, and deploying models. Collaborate with diverse teams, conduct data analysis, and innovate ML solutions for Army applications.

The Machine Learning Engineer will develop secure AI capabilities, collaborate with teams, and build ML systems while evaluating technologies for government sponsors.

As a Machine Learning Engineer, design and validate ML models, run experiments, collaborate with teams, and produce maintainable code in a clinical context.

Lead the development and deployment of ML models for personalized consumer experiences, pricing optimization, and fraud detection. Collaborate across teams to drive business impact and mentor others in ML techniques.

Citizen Health seeks AI/Machine Learning Engineers to develop AI solutions for healthcare using advanced ML techniques, focusing on rare diseases and patient care. Responsibilities include designing ML models, optimizing LLMs, and ensuring compliance.

The Senior Machine Learning Engineer will build and optimize ML systems for CRM marketing, collaborating with cross-functional teams to impact customer engagement and product functionality.