Top Remote Machine Learning Jobs in Raleigh, NC

Lead the Generative AI engineering team in building and executing AI strategies, managing platform lifecycle, and collaborating with stakeholders for impactful AI solutions.

The Principal AI/ML Platform Engineer leads the development and delivery of ML and GenAI platforms, ensuring scalability, compliance, and performance across various workflows and products, while mentoring the engineering team.

Lead initiatives in designing and building large-scale distributed data systems and ML infrastructure, while collaborating across various engineering teams.

As a Client Solutions Architect, you will lead technical solutions for clients, drive product adoption, manage projects, and serve as a liaison between clients and internal teams at Arine.

The Enterprise Account Executive will drive new business opportunities, manage customer relationships, and engage in technical discussions with clients in the ML/AI space.

This role involves applying machine learning techniques to investment management strategies, leading initiatives to bring these strategies to investors.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

Lead the Product Safety team in developing safety strategies for autonomous vehicle technology. Oversee safety standards, mentor engineers, and ensure compliance with ISO standards, focusing on safe system development and deployment.

Lead the development of business models and go-to-market strategies in the Pharma commercial space, focusing on partnerships and innovative pricing.

The role involves engaging with customers to provide technical guidance, supporting pre-sales activities, developing technical strategies, and managing risks while collaborating with internal teams to align solutions with customer needs.

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

This role focuses on increasing revenue in the Federal government sector by securing new accounts, expanding relationships, and engaging with government decision-makers to deliver ExtraHop's solutions.

The Senior Product Manager will lead the development of payment systems in loan servicing, collaborating with internal teams to enhance product features and compliance, focusing on AI-driven solutions in auto finance.

The Senior Power System Studies Engineer designs and applies AI/ML techniques for power system optimization, conducts simulations, and mentors junior engineers.

Lead a team of ML engineers to deliver AI/ML solutions on AWS, focusing on practice strategy, operational excellence, and building partnerships.

As a Machine Learning Engineer, you will design, develop, and deploy machine learning systems, collaborate on AI features, and ensure reliable production performance.

The Senior Product Manager will develop AI tools, collaborating with research, engineering, and design to meet user needs and drive business value.

As a Cloud Machine Learning Engineer at Hugging Face, you will build ML solutions leveraging cloud technologies, integrate models, design APIs, and contribute to documentation and community advocacy.

As a Senior Staff Machine Learning Engineer, drive AI safety initiatives, design monitoring systems, and collaborate cross-functionally to ensure robust, safe AI usage in community support products.

Lead the design and execution of ML-based targeting products, improving advertiser outcomes while mentoring junior engineers and collaborating with cross-functional partners.

Lead the design and architecture of GNN and transformer-based multi-entity embedding generation for Reddit's recommendation systems, collaborating across teams and optimizing machine learning pipelines.

The role leads predictive modeling and machine learning initiatives, mentors team members, and drives innovations in data science for credit risk and operations.

The Principal Machine Learning Engineer will lead ML lifecycle projects, developing AI strategies, and implementing advanced machine learning solutions for government clients, while ensuring data integrity and operational efficiency.

The Curriculum and Content Strategy Lead develops AI and data-focused educational content, oversees curriculum strategy, and collaborates with stakeholders to enhance learning outcomes and drive product development.

The Senior Software Engineer will design and build infrastructure for ML model training and deployment, focusing on AWS technologies, reliability, and collaboration with ML teams.