Top Machine Learning Jobs

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

The Senior Machine Learning Engineer will design, build, and deploy AI agents at scale, enhancing Dropbox Dash's search and organization features. Requires extensive ML experience and proficiency in Python and ML libraries.

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, you will design, implement, and optimize ML systems, collaborate with teams, and ensure model performance.

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.

The AI/ML Engineer will design scalable AI solutions, develop advanced RAG pipelines, and mentor junior engineers while deploying production-grade systems.

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.

The Senior Engineer in Machine Learning will develop algorithms using machine learning techniques on biomedical datasets, prototype solutions, and collaborate with teams to ensure data quality and performance measures.

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.

Design, develop, and deploy AI/ML solutions for validation processes. Collaborate cross-functionally to enhance firmware and hardware validation efficiency using machine learning analytics.

Conduct ML and deep learning research to build, test, and deploy predictive models for trading. Collaborate with traders, researchers, and engineers to engineer features, preprocess data, prototype algorithms, and improve production research tooling to enhance trading performance.

Lead development and deployment of ML models for trading, drive research and prototyping, oversee data and feature engineering, mentor researchers, and build scalable ML research infrastructure.

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

The Senior Machine Learning Engineer will architect the ML infrastructure, productionize models, maintain data platforms, and ensure system health, collaborating closely with data scientists and data engineers.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

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