Top Senior Machine Learning Jobs

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.

As a Senior ML Engineer, you'll develop scalable solutions for Carvana's communication platform, focusing on machine learning and data integration, while collaborating with data science and product teams for continuous innovation.

Design, develop, and deploy ML tools and libraries to enhance development and inference for autonomous driving applications, collaborating with cross-functional teams.

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

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.

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.

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.

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.

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.

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.

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

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

Build and improve AI/ML systems and data pipelines for a B2B SaaS platform; shape product and technical strategy; work with customers; mentor team members; ensure secure, robust, and scalable infrastructure.

As a Senior Software Engineer, you'll develop machine learning models and software applications, translating technical requirements into solutions while ensuring excellence in product delivery.

The Senior Machine Learning Engineer will enhance AI capabilities for defense applications, collaborate on ML models, optimize data processing, and ensure security in high-stakes environments.