Top Machine Learning Jobs

The role involves designing machine learning models for an advertising platform, improving ad efficiency, mentoring junior developers, and collaborating with teams.

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.

As a Senior Machine Learning Engineer, you will design and implement scalable data and ML pipelines, collaborate with data scientists, and maintain systems for fraud and payment risk management.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

As a Machine Learning Engineer, you'll design and implement ML pipelines, optimize models, collaborate with various teams, and document processes, all focused on delivering innovative analytics solutions.

Develop machine learning features for autonomous vehicles, evaluate ML methods, and lead experiments while collaborating with multi-functional teams.

The Staff Machine Learning Engineer will architect and optimize data infrastructure for multimodal AI models in oncology, focusing on data management and processing pipelines.

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

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer in the Health team, you'll design and productionize ML systems for personalized health metrics, collaborating with data scientists and engineers to optimize performance and ensure service reliability.

As a Machine Learning Engineer II, you'll design, implement, and test machine learning systems, collaborating with various stakeholders to enhance predictive applications.

The Machine Learning Intern will collaborate with senior engineers to design and implement ML algorithms, work on production-related challenges, and participate in Hackathons to enhance user experience across Tinder's platforms.

Candidates who attended NeurIPS '25 are invited to share their info for potential roles at Scale AI, which focuses on machine learning and AI development.

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

Oversee development of machine learning platforms for payment intelligence at Stripe, leading teams to optimize revenue and risk through AI/ML solutions.

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.

Interns will work on machine learning solutions for autonomous driving, contributing to real-world projects in perception, prediction, and planning.

Join Moloco as a Senior SWE/MLE to design and implement real-time bidding algorithms for high-scale advertising systems, focusing on optimization and machine learning principles while collaborating across teams.

As a Machine Learning Engineer, you will develop and deploy advanced AI applications in the food industry, utilizing machine learning methodologies and collaborating closely with teams to enhance technology.

As a Machine Learning Engineer, you'll evaluate neural network quality, coordinate with researchers, manage experiments, and report results to streamline AI software development.

As a Staff Machine Learning Engineer, you'll design large-scale recommendation and retrieval systems, enhance quizlet's personalization through ML, collaborate with teams, and ensure models align with user outcomes.

The Machine Learning Engineer will develop and optimize large-scale ML models, build low-latency inference pipelines, and collaborate with teams to enhance performance and automate ML processes.