Top Machine Learning Jobs

The AI Scientist will research, design, prototype, and optimize AI systems for Salesforce's Agentforce team. Responsibilities include translating business problems into applied science challenges, building AI systems, mentoring team members, and educating product and engineering teams about AI innovations.

AI Researchers at Thoughtworks lead and conduct innovative AI research projects, applying their expertise in artificial intelligence and machine learning to create new knowledge, methodologies, and publish research findings. Responsibilities include defining research agendas, executing experiments, developing research code, mentoring junior researchers, and staying current with industry advancements.

The Sr. Machine Learning Scientist will build and optimize machine learning models for fraud detection and prevention at Visa, involving data science knowledge, deep learning methodologies, and collaboration with cross-functional teams to deploy AI/ML solutions. The role focuses on model development, evaluation, and integrating advanced techniques into existing fraud detection systems.

Indico Data is seeking enthusiastic candidates for any roles that may become available in the future. The company specializes in automating intake workflows for document-intensive industries, improving accuracy and speed in decision-making processes.

As an AI Strategist, you will help clients navigate AI/ML integration challenges, conduct quantitative analysis, assess organizational capabilities, and provide actionable recommendations to advance their AI strategies, while working collaboratively with engineering teams.

As a Principal Machine Learning Engineer, you'll define and execute advanced machine learning models to solve complex business problems, optimize practices for Unity's Ad platform, and lead the direction of machine learning strategies to enhance product performance.

Seeking a Lead ML Engineer to join our ML team at S&P Global. Responsible for developing and managing machine learning models and data pipelines, collaborating with cross-functional teams, and optimizing generative AI models. Remote position.