Top Machine Learning Engineer Jobs

Seeking a Senior Applied Machine Learning Engineer to develop and integrate AI solutions for procurement optimization in construction, enhancing decision-making and insights.

Design, build, and deploy scalable ML models and data pipelines for prediction, anomaly detection, personalization, and automation. Own operationalization, monitoring, model evaluation, and integration with platform services at cloud scale.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

The ML Engineer will develop motion planning models using ML techniques, simulate interactions for outdoor delivery robots, and collaborate across teams for integration.

Lead the modeling strategy for ML Bots, developing predictive features, designing ML systems, mentoring engineers, and collaborating cross-discipline to enhance player experiences within games.

Define and lead modeling architecture for personalization, matchmaking, recommendations, and social discovery. Build large-scale real-time inference systems, develop models for skill, behavior, trust & safety, and multi-objective optimization. Drive Responsible AI, experimentation, observability, and cross-functional standards while mentoring senior engineers and influencing ML strategy.

The Machine Learning Engineer will collaborate with a cross-functional team to enhance class search and recommendations by developing and maintaining machine learning models, focusing on iterative improvements and mentorship.

Design and optimize ML models for localization in autonomous trucks using sensor fusion and map-based techniques. Collaborate with teams to enhance model robustness and integrate into the autonomy stack.

Design, train, deploy, and optimize ML models and pipelines for large-scale, safety-critical systems. Build data ingestion and MLOps infrastructure, validate model reliability, co-author technical reports, and collaborate with engineers and customers to integrate new data sources. Some customer travel required.

The role involves designing, training, and validating machine learning models for semantic mapping in autonomous vehicles, while collaborating with validation teams and ensuring coding best practices.

As an AI/ML Engineer, you will design, train, and deploy machine learning models, optimize model performance, and collaborate with cross-functional teams to integrate AI capabilities into products.

The AI / Machine Learning Engineer will design, build, and deploy ML models for image classification, fraud detection, and data pipelines, while collaborating with product and engineering teams.

The Machine Learning Engineer will develop and deploy ML systems, optimize models, integrate large language models, and collaborate with teams to enhance scientific applications in molecular biology.

Develop and program algorithms for structured and unstructured data, improve product performance using machine learning, and collaborate across teams to create solutions.

As a Machine Learning Engineer, you'll develop, deploy, and maintain ML models, conducting analyses and collaborating with engineers and scientists to deliver AI solutions for national security.

The Senior Engineer will plan and coordinate machine learning work for product engineering, providing technical leadership and consulting across teams while optimizing engine and aftertreatment systems.

Develop and scale machine learning systems for physiological signal processing. Design and train models, ensure compliance, and mentor team members while collaborating with cross-functional teams.

Design and build end-to-end software products for autonomous vehicles, leading projects in full-stack development, cloud infrastructure, and machine learning pipelines while mentoring junior engineers.

As a Staff AI/ML Full-Stack Engineer at GM, you'll design and develop end-to-end software products, own technical projects, and mentor junior engineers while focusing on cloud infrastructure and scalable applications.

The role involves deploying and scaling machine learning models, optimizing systems for ML applications, and collaborating with various teams to support data science functionalities at Squarespace.

The Machine Learning Engineer will build and maintain ETL pipelines for image datasets, develop model training infrastructure, and work closely with farmers to implement ML solutions.

The role involves designing and implementing AI agents and infrastructure for semiconductor design, ensuring efficient evaluation and deployment of AI solutions.

The Staff Machine Learning Engineer will develop AI/ML applications, collaborate with teams to implement models, and leverage a variety of technologies to enhance Twilio's customer support operations.

The Senior Machine Learning Engineer will build and implement Generative AI solutions, coordinating with designers and product managers to enhance products and establish a data-driven culture.

The Machine Learning Engineer will work on sensing and perception algorithms, deploying computer vision algorithms, and collaborating for code testing and evaluation.