Top Machine Learning Engineer Jobs

Architect and scale ML platforms, design infrastructure for ML workflows, collaborate with teams, ensure compliance, and mentor engineers.

Lead design, implementation, and productionization of the platform's ML memory layer and LLM strategies. Build and operate training, fine-tuning, inference, monitoring, and deployment pipelines; collaborate cross-functionally to ensure scalable, reliable ML systems that improve with data and integrate deeply into product workflows.

As a Software Engineer in ML Infrastructure, you will develop scalable data pipelines, enhance data discovery, and collaborate with teams on data organization and ML features.

The Solutions Engineer will drive the adoption of AI-powered solutions in the electric utility sector, providing technical consulting and customer enablement. Responsibilities include gathering requirements, architecting solutions, leading RFI/RFP processes, and delivering training. Extensive travel is required for client engagement.

The Sr. ML Engineer will enhance Visa's AI platform across various environments, optimize code, develop solutions, and build high-performance systems using cloud technologies and machine learning techniques.

Develop and maintain ML platforms, collaborating with teams to implement scalable solutions and mentor others in AI and ML technologies.

Lead initiatives to enhance the ML platform, mentor junior engineers, build scalable ML models, and ensure code quality while driving innovation in a startup environment.

The Senior Machine Learning Engineer will lead the development of a GenAI platform, enhance AI infrastructure, mentor junior engineers, and drive project ownership in a startup environment.

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.

Develop and improve machine learning models for Pinterest's various product surfaces, utilizing deep learning and advanced data processing.

Develop and execute ML technology stack vision for Ads, improve ML models, and enhance content understanding using LLMs in a collaborative environment.

Develop and optimize machine learning models and workflows to enhance insurance processes. Collaborate on model integration, monitoring, and improvement while driving innovation in modeling techniques.

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.

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.

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 role involves designing and supporting GPU/Kubernetes clusters for AI/ML workloads, developing automation tools, and troubleshooting infrastructure issues.

Design, develop, test, and maintain software applications; lead AI projects; guide junior developers; manage CI/CD processes; ensure high-quality software solutions.

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 Software Engineer II - AI/ML OPS Engineer will design and optimize ML pipelines, manage cloud infrastructure, and support Databricks operations, collaborating closely with engineers and data scientists.

Design, develop, and implement machine learning models and algorithms. Collaborate with cross-functional teams to deploy scalable ML solutions and analyze large datasets for insights.

The Principal Software Engineer II will build and maintain machine learning components in Elasticsearch, collaborating with teams, writing scalable code, and owning projects from design to implementation.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

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.