Top Machine Learning Jobs

As a Staff Machine Learning Engineer, lead teams in designing AI solutions, managing projects, and interfacing with clients while ensuring technical excellence and operational effectiveness.

The AI/ML Engineer will design, develop, and deploy machine learning algorithms and large language models while collaborating with stakeholders to meet business needs.

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.

The AI Intern will work on integrating AI systems into Advantest's platforms, experiment with LLM configurations, and evaluate model performance to enhance user experience.

The AI Enterprise Engineer will work with enterprise customers to define model specifications, analyze agent behavior, and benchmark models using Bespoke Labs tools, requiring a strong foundation in AI/ML and production deployment.

The role involves designing ML systems for Search Ads, focusing on improving ad relevance and personalization with large language models and deep learning.

Lead the development of machine learning models for ad bidding at Faire, optimizing performance and influencing marketplace strategy.

Lead and inspire a team to develop advanced threat detection algorithms using machine learning and deep learning, defining vision and strategy for product realization.

The intern will develop and modify software using AI/ML tools, focusing on scientific computing modules and UI/UX components. A solid programming background and GPU experience are required.

The Senior Manager, Machine Learning Science will lead a team focused on developing ML models for travel recommendations and ranking, optimizing the booking experience for bundled products, and mentoring ML scientists.

The AI/ML Specialist will enhance ML algorithms for fraud and risk, engage with financial clients, and drive technical success with real-world data testing.

Seeking a Senior Machine Learning Engineer to develop voice assistant solutions using ML and deep learning, optimizing for production environments. Responsibilities include designing ML pipelines, mentoring juniors, and collaborating with cross-functional teams.

The Senior Machine Learning Engineer will build and optimize a state-of-the-art machine learning platform, focusing on deep learning for advertising solutions and performance optimization.

As a Senior Machine Learning Scientist, you will develop methodologies for advertising-related challenges, utilizing deep learning and statistical techniques for optimization and experimentation.

As a Senior Machine Learning Engineer, you will develop advanced machine learning and deep learning models and platforms for optimizing advertising performance and conduct complex experiments.

As an AI Engineering Summer Intern, you will transform unstructured call summaries into clinical-grade SOAP notes and assist with prompt generation to enhance patient engagement using AI.

This role involves designing, deploying, and maintaining machine learning and AI models in production, managing ML pipelines, and ensuring system reliability and performance.

The role involves developing ML methods for robotics, focusing on integration with learning-based planning and control under real-world constraints. Responsibilities include benchmarking approaches and contributing to system prototypes.

Design, develop, and deliver machine learning models for clinical data. Collaborate with stakeholders and optimize production ML systems.

As an AI & ML Engineering Intern, you'll design and build internal AI-powered tools, automate workflows, and contribute to shared AI infrastructure, with a focus on LLMs and machine learning frameworks.

Lead AI/ML engineer responsible for developing and deploying AI solutions in healthcare, collaborating with teams, and designing ML models.

The role focuses on developing machine learning models, enhancing data pipelines, and ensuring robust data infrastructure for AI/ML solutions, including collaboration and continuous model improvement.

The Machine Learning Engineer will apply machine learning techniques to improve advanced MIMO radios' performance, analyze RF datasets, collaborate on ML use cases, and stay updated on ML research.

Develop and maintain machine learning models for user safety, design scalable systems, and collaborate on AI solutions while ensuring fairness. Requires strong programming and domain expertise in ML technologies.