Top Machine Learning Jobs

As a Principal Machine Learning Engineer, you will lead the development of prediction or optimization engines for advertising platforms, driving innovation through AI and machine learning. Responsibilities include designing ad algorithm architecture, developing scalable data analysis methods, and collaborating with cross-functional teams.

The Lead Software Engineer will develop and enhance Disney's advertising machine learning platform, focusing on improving inventory forecasting, ad delivery, pricing, and targeting using AI. This role involves creating scalable solutions for data analysis and modeling while collaborating with researchers and balancing architectural considerations.

Lead the development and optimization of algorithms for personalization and recommendation systems at Disney, driving and enabling ML usage across multiple domains. Collaborate with stakeholders to identify new opportunities while maintaining robust production deployment and high system reliability.

As an Application Engineer, you will oversee design and implementation of assigned products, manage risks, analyze and deploy new user stories, guide junior engineers, and enforce IT standards. Collaboration with various stakeholders is crucial for achieving team commitments and ensuring high reliability of solutions.

As a Senior Machine Learning Engineering Manager, you will lead the end-to-end machine learning lifecycle, from data collection to deployment. You'll implement novel techniques, mentor team members, and collaborate with cross-functional teams to ensure effective communication and innovation.

The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.

The Lead Machine Learning Engineer will focus on developing and optimizing algorithms for Hulu's recommendation and personalization systems. Responsibilities include collaborating with product and data teams, maintaining existing models, and establishing best practices in algorithm development and deployment.

The Staff Machine Learning Engineer will enhance batch inference services and tooling for financial crime detection, work on infrastructure for model development, and lead AI/ML initiatives within Cash App. Responsibilities include collaborating with various teams, developing prototypes, and driving strategic roadmaps.

The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.

The Director of Machine Learning Operations will lead the ML Ops team to develop, implement, and oversee machine learning strategies. Responsibilities include managing ML infrastructure, deploying models, ensuring performance and scalability, and collaborating with cross-functional teams to integrate ML solutions into the advertising technology platform.

The Machine Learning Engineer will focus on enhancing search relevance and personalization on Instacart's platform by developing and optimizing machine learning models. Collaboration with cross-functional teams is vital to create scalable solutions while also contributing to research and thought leadership.

The Senior Lead Machine Learning Scientist will develop and implement machine learning algorithms, focusing on deep learning for multimodal data problems. This role involves leading research projects, collaborating with cross-functional teams, and staying current with advancements in AI and machine learning.

As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.

The Staff Software Engineer, Machine Learning Infrastructure will develop scalable machine learning workflows, collaborate with product teams to implement machine learning applications, and build data management systems for processing and evaluation. This role emphasizes backend infrastructure for efficient machine learning on mobile and cloud platforms.

Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, and prioritize duties to build robust products. Strong collaboration and problem-solving skills required.

The Senior Manager of Machine Learning Engineering will lead a team dedicated to developing machine learning applications and systems at scale. Responsibilities include designing and implementing ML architectural designs, reviewing model and application code, and ensuring high availability and performance. The role requires collaboration with cross-functional teams, maintaining models in production, and adhering to best practices in machine learning engineering.

The role involves productionizing machine learning applications, participating in technical design and development, solving complex problems with code, collaborating in an Agile team, and ensuring best practices in ML and AI governance. Responsibilities include model development, deployment, maintenance, and monitoring.