Top Machine Learning Jobs

The Machine Learning Engineer will develop and innovate ML models and their infrastructure, collaborate, mentor, and take ownership of impactful projects.

The Senior Machine Learning Engineer will drive innovation by building and operating AI-powered features for Calendly's clients, focusing on high-quality design and deployment processes.

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.

Contribute to design, implementation, training, evaluation, and deployment of ML models and supporting data pipelines. Collaborate with engineers and product partners to build, test, and integrate ML components, improve model performance, and support production systems while following best practices and guidance from senior team members.

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.

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.

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 Director, Machine Learning Engineer, you will lead ML implementations, solve business problems, and collaborate with data teams to deliver scalable solutions.

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.

The AI-ML Engineer will develop and deploy production AI solutions using Microsoft Azure, collaborate with teams, and ensure data quality and compliance.

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 an AI/Machine Learning Intern, you will contribute to software applications and AI projects, working with data engineers and researchers to implement innovative solutions.

Lead a team of machine learning scientists to develop AI solutions utilizing large-scale healthcare datasets. Oversee project execution from concept to deployment.

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 scalable ML solutions, leading cross-functional discussions, analyzing knowledge data, and producing technical documentation to improve search relevance using AI and machine learning technologies.

As an AI/ML Engineer, you will design, train, and deploy ML models for flight data analysis, providing actionable performance feedback for pilots.

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

As a Research Engineer in Machine Learning, you'll optimize large-scale ML systems, integrate research with production, and conduct experiments on deep-learning techniques, all while collaborating closely with Research Scientists.

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 fine-tune transformer models, deploy machine learning solutions, and work with cross-functional teams on innovative projects.