Top Machine Learning Jobs

The Machine Learning Platform Engineer maintains and enhances scalable ML systems, collaborates with cross-functional teams, and drives key initiatives in infrastructure and product features.

Lead modeling strategies for AI Bots in League of Legends by developing and implementing ML systems, collaborating with teams, and ensuring player experience enhancement through advanced ML methods.

As a Staff Machine Learning Engineer, you will design and develop VoIP infrastructure and integrate LLMs into voice platforms while enhancing operational practices.

Develop and expand revenue forecasting and dynamic pricing systems, design models to predict demand, optimize pricing strategies and ensure data quality.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

The Principal Machine Learning Engineer will develop ML algorithms and optimize performance on ARM computing platforms, collaborating across hardware, software, and ML algorithms, while focusing on performance, power, and area.

The Staff ML Engineer will design and implement backend components for the ML Inference Platform, ensuring efficient model serving and collaborating with ML teams to enhance AI infrastructure at GM.

Lead research on machine learning validation for robotics and autonomy systems, focusing on simulation, uncertainty modeling, and creating functional prototypes for testing.

As a Sr Lead Machine Learning Engineer, you'll design, develop, and implement machine learning applications, collaborating with cross-functional teams and ensuring high performance and governance of ML systems.

The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.

The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.

Lead development and production deployment of advanced ML and time-series models for water and infrastructure systems, perform research in Physical AI, collaborate cross-functionally, communicate impact to stakeholders, and mentor junior data scientists.

The role involves designing and scaling ML systems for prediction and recommendation, mentoring junior engineers, and leading projects.

Develop and improve machine learning models and systems for clinical outcomes. Lead ML initiatives, mentor teams, and establish best practices in AI. Collaborate across engineering, product, and design for data-driven solutions.

The role involves designing, developing, and deploying machine learning models and systems, collaborating with engineers and product teams to ensure reliable and scalable solutions while mentoring junior engineers.

Design and deploy production-grade ML systems, integrate models into software pipelines, and develop features leveraging ML for optimization and prediction problems.

Lead the development of production-grade ML systems, aligning technical roadmaps with company priorities, mentoring ML engineers, and ensuring ethical use of ML/AI.

The role involves developing an AI agent platform, building ML models, and enhancing user experiences with advanced algorithms. Collaboration and fast-paced execution are key.

As a Senior Principal Machine Learning Engineer, you'll lead technical projects, mentor teams, and implement ML systems, focusing on AI in AEC solutions.

The Industry Architect for Advertising & Media at Snowflake drives technical transformation in media measurement and marketing science, partnering with global brands and agencies to innovate data architectures and optimize media investments using AI and privacy-safe technologies.

Lead the Applied Machine Learning team at ExtraHop to develop systems for behavioral detection in network security. Manage model design, evaluation, and operationalization while maintaining experimental rigor and collaborating with product teams.

Lead the development of production-grade machine learning systems, build ML pipelines, and optimize models for deployment and performance.

Join Capsule as an AI Engineer to develop ML models for video editing. Responsibilities include researching ML techniques, collaborating on feature development, and optimizing model performance.

Lead the development of pricing algorithms for vehicle valuation at CarMax, managing a team of data scientists to implement strategies and maintain optimal pricing models.

The role involves developing machine learning models for cash forecasting, collaborating with stakeholders, and owning the ML lifecycle from development to deployment.