Top Machine Learning Jobs

Assist in developing, implementing, and monitoring machine learning models while collaborating with teams to learn and apply AI/ML concepts.

The Senior Machine Learning Engineer will deploy ML models, optimize data pipelines, mentor junior engineers, and collaborate with cross-functional teams.

Develop optimization algorithms for ad personalization, integrate ML model predictions, translate findings for stakeholders, and A/B test features.

The ML Research Engineer will develop and train embedding models for a search engine, focusing on novel transformer architectures and dataset creation.

As a Senior Machine Learning Engineer, you will write high-performance code, optimize inference algorithms, and mentor engineers, impacting the future of AI deployments.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

As a Senior Machine Learning Engineer, you will drive AI vision, develop models, and collaborate cross-functionally to enhance user experiences.

The Staff Machine Learning Engineer will lead ML strategy, architect AI infrastructure, mentor engineers, and develop impactful AI systems.

As a Senior Machine Learning Engineer, you'll develop and optimize ML systems, implement pipelines, and collaborate with cross-functional teams to enhance Yahoo's data capabilities.

Contribute to developing machine learning models for multi-scale biology, focusing on design, deployment and optimization across teams and technologies.

The Machine Learning Engineer will design, build, and operate core recommendation systems, innovating ML/AI solutions, collaborating with a tech team, and driving project ideas based on business needs.

The AI/ML Engineer will enhance internal modeling frameworks and production infrastructure, collaborate with researchers, and automate the ML lifecycle to optimize performance.

As a Senior Machine Learning Engineer, you'll design and implement large-scale ML systems to enhance ad relevance and performance, mentor engineers, and collaborate with cross-functional teams in Mandarin.

Design and optimize machine learning pipelines for large-scale systems, integrating models into user features and ensuring data integrity and performance.

Design and optimize machine learning systems, build scalable data pipelines, and run experiments to improve recommendations for Scribd's products.

Lead the development of the Wildfire Fuel Detection Model using ML techniques and geospatial data, collaborating with teams to ensure accuracy and robustness. Mentor engineers and drive architectural decisions.

As a Machine Learning Engineer, you will design, build, and optimize ML models for ad ranking, bidding, and measurements, ensuring effectiveness across Reddit's advertising solutions.

As a Senior Machine Learning Engineer, you will design, implement, and optimize ML models for ad ranking and bidding, driving value for Reddit's advertisers.

The Staff ML Engineer will develop and deploy machine learning models for perception and navigation in humanoid robots. Responsibilities include sensor fusion, real-time inference, data collection, and mentoring junior engineers.

The Machine Learning Engineer will manage the end-to-end ML lifecycle, collaborate with cross-functional teams, develop production models, and monitor their performance in high-stakes environments.

As a Staff Machine Learning Engineer, you will design ML systems for location analysis, collaborate with teams to integrate ML into products, and mentor others while ensuring optimal system performance and reliability.

Design, develop, and maintain AI/ML models for processing federal electronic health records, ensuring compliance with healthcare standards and regulations.

Eluvio seeks an AI-Machine Learning Intern to build ML models, collaborate on data science solutions, and enhance video/audio content intelligence.

Interns will collaborate with the machine learning and data science team to build models for video/audio content using large datasets and provide actionable insights.

As a Cloud Machine Learning Engineer at Hugging Face, you will build ML solutions leveraging cloud technologies, integrate models, design APIs, and contribute to documentation and community advocacy.