Top Machine Learning Engineer Jobs

As a Software Development Engineer (AI & ML), you'll architect and implement scalable ML models, optimize data pipelines, and collaborate with teams to deliver financial tech solutions.

The role involves managing ML infrastructure, building scalable data pipelines, operating training frameworks, leading projects, and ensuring best DevOps practices for machine learning.

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

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 implement online mapping models and algorithms for robotics, focusing on machine learning and data management within uncertain environments.

The Sr Software Engineer will optimize and deploy ML models on embedded hardware, ensuring performance and reliability, while collaborating with cross-functional teams.

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

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 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.

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.

Design and develop machine learning infrastructure, enhancing core components for model training, monitoring, and serving. Collaborate with ML engineers on robust pipelines.

Develop and apply deep learning and data analysis techniques to create scalable vehicle simulation models, collaborating with teams to advance autonomous technology.

The Sr. Data Engineer will architect and build an end-to-end data platform, developing data pipelines and infrastructure for AI and robotics teams, ensuring data integrity and governance, and collaborating on ML model development.

Lead development of GenAI products, improve LLM quality, design ML pipelines, and collaborate with cross-functional teams to enhance AI solutions.

The role involves designing and implementing MLOps pipelines, optimizing machine learning processes, and ensuring model performance and compliance in a collaborative environment.

The role involves developing and deploying machine learning models for forecasting within the Camus platform, requiring collaboration and technical depth in ML.

Design, operate, and optimize a scalable ML platform: productionize ML workloads, implement governance (Unity Catalog), build CI/CD with Terraform and GitHub Actions, configure IAM/RBAC, establish observability, and enable data scientists to move models from notebook to production.

Design and deploy machine learning models for content relevance on Patreon. Collaborate with cross-functional teams, analyze data, and iterate on models for performance improvement.

The Senior Software Engineer will design, build, and deploy ML services in healthcare, ensuring compliance and optimizing workflows with CI/CD practices.

The role involves designing and maintaining large-scale ML infrastructure, optimizing distributed training systems, and enhancing computing performance for model training.

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 role involves building standardized training frameworks, profiling model performance, collaborating with teams, and improving related tooling.