Top Machine Learning Jobs

The Software Engineering Intern (AI/ML) will assist in research, development, and analysis of AI/ML solutions, contributing to software projects while learning from experienced team members.

Lead the Performance ML team at MNTN, driving strategy and deployment of predictive models for ad technology, while managing, mentoring, and scaling engineering teams.

Develop and maintain predictive models for quality, risk adjustment, and operational efficiency; analyze multi-source healthcare data; implement ML solutions, monitor model performance, and experiment with emerging AI to improve outcomes and workflows.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The Machine Learning Engineer will develop and improve ML models for product surfaces, build data processing pipelines, and leverage machine learning technologies in advertisements.

Design and improve end-to-end ML/AI pipelines, process datasets, and contribute production code for high-quality solutions in machine learning projects.

Own the full ML lifecycle for ads bidding stack, developing models for auction optimization and collaborating with a team to enhance platform effectiveness.

This role involves developing AI/ML architectures, resolving complex issues, and partnering with stakeholders to enhance business outcomes through technology and data.

The Senior Lead Machine Learning Engineer will design, develop, and implement machine learning systems, collaborating with teams to solve business problems using machine learning applications.

The Lead MLE will design, build, and deploy ML applications, collaborating with cross-functional teams and ensuring high performance and governance of models.

As a Lead Machine Learning Engineer at Capital One, you'll design and implement ML applications, collaborate with teams, and maintain production models, leveraging cloud technologies and best practices.

Design and develop geometry processing algorithms and simulation services for engineering applications, focusing on integrating machine learning with practical engineering tasks.

The role involves leveraging data analytics and machine learning for strategic decision-making, developing predictive models, and collaborating with business stakeholders to enhance operational efficiency and innovate practices.

The Machine Learning Engineer II will develop ML strategies, build and implement ML pipelines, educate teams, and create internal tools for production workflows.

As a Machine Learning Intern, you will research and build AI systems, enhance data pipelines, and optimize machine learning models. You'll engage in running experiments, developing applications, and collaborating with the data analytics team to provide analytical solutions and support tools.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

Lead machine learning projects, collaborate with business partners, and manage data processes from research to production to drive business impact.

The role involves developing machine learning models for remote sensing applications, collaborating with various teams, and maintaining model stability.

The Algorithmic Trading Senior Manager at FanDuel will lead the algorithmic trading team, focusing on developing automated trading strategies and optimizing capital utilization while managing risk and team operations.

Lead the development of machine learning and bioinformatics for NGS products, collaborating cross-functionally to analyze complex datasets, and mentor junior members.

Conduct research and develop machine learning models for finance, focusing on deep learning and large language models, optimizing them for performance, and collaborating with teams to integrate ML solutions.

The Staff Machine Learning Engineer will lead ML systems design and deployment, mentor engineers, collaborate with teams, and communicate solutions effectively to stakeholders.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

Lead the development of machine learning solutions for video personalization, enhancing user experience through data-driven insights and collaboration across teams. Drive technical strategy in building scalable systems and partnerships to innovate customer recommendations.

Develop and optimize lightweight machine learning models for edge AI applications, integrating into production systems and mentoring junior engineers.