Top Machine Learning Jobs in Raleigh, NC

The Product Manager will work with product marketing to define product vision and roadmap, analyze market performance, deliver detailed requirements to the development team, and ensure high-quality product delivery. The role requires strong data analysis skills and experience in product decision-making, especially in agile and SCRUM environments.

As a Senior Machine Learning Engineer, you'll develop and deploy machine learning solutions for marketplace challenges, focusing on delivery ETA, pricing, and incentives. Collaborating with product managers and data scientists, you'll refine algorithms and ensure integration with business goals, fostering continuous innovation and growth at Instacart.

Hims & Hers is seeking candidates for future Analytics and Data Science opportunities to drive data-driven decisions and innovations across the company. The roles involve analytics, machine learning engineering, and building data solutions to enhance user experience and support business growth.

The Enterprise Account Executive is responsible for driving customer acquisition and managing the full sales cycle for Fortune 500 and high-growth enterprise clients. This includes building relationships, developing account strategies, managing pipelines, negotiating contracts, and collaborating across teams to optimize customer outcomes.

The Data Scientist will use expertise in AI and machine learning to create advanced analytics engines and services, communicate effectively with business partners, and lead collaborative analytic approaches. The role involves developing interpretable and scalable models and addressing various business challenges through innovative solutions.

As a Principal Product Manager, you will collaborate with product marketing to define product vision and roadmap, analyze market data, deliver requirements to the development team, and ensure timely delivery of high-quality products while aligning with stakeholders and driving strategic decisions.

As a Human Data Manager, you will lead and mentor a team of AI tutors to ensure data integrity, conduct performance analyses, manage projects, analyze data quality, and collaborate with technical teams on innovative solutions in data curation.

The Principal Software Product Manager at Omnidian will lead the development of innovative data products, aligning with business goals through collaboration with cross-functional teams. Responsibilities include product documentation, client engagement, project management, and ensuring data metrics drive product enhancements. Key duties also involve creating detailed product roadmaps and conducting market trend analysis to inform product strategies.

As an AI Tutor at Alignerr, you will enhance AI models' understanding of data science through teaching, evaluation, and resistance testing. Your responsibilities will include applying statistical methods, guiding machine learning applications, and fostering data ethics in AI. The role requires both technical expertise and a commitment to exploring AI advancements.

As an MLOps Engineer, you'll design and implement automated pipelines for deploying ML models, manage model life cycles, optimize cloud infrastructure, collaborate with various teams to ensure model performance, and develop reusable tools to simplify future deployments.

As a Senior Machine Learning & Computer Vision Engineer at Dandy, you will build advanced models for 3D scans, research state-of-the-art methods for generative deep learning, and collaborate with cross-functional teams to enhance product offerings. Your role involves working with large datasets, implementing MLOps best practices, and innovating new solutions in a growing team environment.

The Machine Learning Engineer at Enact Mortgage Insurance will design and enhance ML frameworks, develop data pipelines for ML models, collaborate with data professionals, and implement ML operational processes and tools. The role involves training models, performing statistical analyses, and keeping up with advances in machine learning to inform practices and improve operations.

As an AI/ML Engineer, you will collaborate with global teams to develop and deploy AIML solutions in production. Your responsibilities include coordinating with stakeholders, mastering standards and frameworks, and supporting the growth of the data science business.

As a Principal Machine Learning Engineer at Twilio, you will lead advanced ML/AI research projects, create prototypes, and collaborate with teams to integrate AI models into existing systems, enhancing customer experiences.

The Technical Project Manager will lead and manage security-focused IT projects across various teams, ensuring timely delivery while collaborating with security and engineering teams to uphold the organization’s information security posture. This role involves using Agile methodologies for project management and ensuring compliance with industry standards.

The Strategic Customer Engagement Manager executes customer engagement strategies, manages product engagements, and coordinates technical preview programs. This role fosters relationships with key customers, drives product innovation, and ensures effective communication between teams.

The Strategic Customer Engagement Manager develops and manages customer engagement strategies, focusing on Customer Advisory Board and Executive Sponsorship programs. This role fosters relationships with key customers, gathers insights, and drives product innovation and retention through strategic program management and execution.