Top Machine Learning Jobs in Raleigh, NC

As a Machine Learning Engineer, you will design and develop machine learning pipelines, optimize decision-making processes, and create pricing solutions for a two-sided marketplace in logistics. Collaborating cross-functionally, you will enhance automated systems and advocate for data-driven decisions.

The Technical Product Manager will collaborate with data science and engineering teams to optimize ad performance and user acquisition through advanced models and infrastructure integration. They will ensure effective communication with stakeholders and utilize data-driven insights to guide product success, while staying informed on industry trends and performance metrics.

The Senior AI-Machine Learning Engineer at Abbott will lead R&D efforts in developing innovative ML-enabled features for medical devices. Responsibilities include collaborating across disciplines, applying machine learning techniques, and managing datasets for training and validation.

The R&D AI Software Engineer will design and improve end-to-end machine learning pipelines, pre-process datasets for LLM training, and contribute high-quality production code. This role involves working with live client data and addressing new use cases, ensuring optimal performance for AI applications.

The Senior Manager will lead AI/ML engineering teams to deliver scalable machine learning solutions. Responsibilities include driving innovation, mentoring teams, addressing roadblocks, and implementing engineering best practices in a collaborative environment focused on analytics and advanced technology.

As a Lead Machine Learning Engineer, you will develop advanced analytics and ML solutions impacting the business. Responsibilities include designing scalable applications, leading projects from conception to operationalization, and providing technical vision to teammates.

The Senior Staff AI Machine Learning Engineer at Abbott will lead the development of AI technologies and models, focusing on GenAI and machine learning algorithms. Responsibilities include optimizing AI systems, building predictive models, and collaborating with multidisciplinary teams to ensure effective implementation of AI solutions. The role demands extensive experience in AI/ML technologies, strong programming skills, and the ability to communicate complex concepts effectively.

As a Senior Machine Learning Engineer at WEX, you will design, implement, and maintain machine learning algorithms, manage ML pipelines, and integrate AI components into systems. You will collaborate with cross-functional teams, apply DevOps principles, and use cloud technologies for deployment while ensuring compliance in regulated environments.

The Senior Machine Learning Engineer will develop algorithms for data analysis, improve data management, and enhance product performance using machine learning techniques. Responsibilities include coding algorithms, testing, debugging, and creating documentation. The role also involves implementing deep learning technologies and collaborating across teams.

As a Senior Staff Machine Learning Engineer at WEX, you'll design, implement, and maintain ML algorithms and pipelines, integrate AI components, and collaborate on CI/CD practices while ensuring a responsive approach to regulatory challenges in industries like payments and healthcare.

As a Senior Data Scientist, you will provide technical mentorship, build models to quantify impact on the platform, develop experimentation techniques, and create features to identify customer issues. The role focuses on navigating tradeoffs to drive business value across the organization.

As a Senior Product Manager, you will lead the development of a resources data product, collaborate with engineering and data science teams, manage agile sprints, and report project metrics to senior leadership. You will also develop and execute product strategies, enhance internal processes, and ensure successful implementations of solutions.

As a Senior Product Manager at GrowthLoop, you will oversee product strategy and execution from inception to launch. You will collaborate with engineering, design, and marketing teams, focusing on customer insights and technical feasibility to develop tools that enhance marketer workflows, driving significant business impact.

The Senior Engineering Manager will lead multiple small teams, partnering with Product and Design to define the product roadmap and technical strategy. They are expected to stay hands-on technically, mentoring team members while ensuring alignment with HubSpot's mission. The role involves communication, leadership, and building a strong engineering culture focused on growth and continuous improvement.

The Enterprise Account Executive will drive revenue by acquiring and nurturing strategic enterprise client relationships, leading contract negotiations, and developing customized sales strategies. The role involves collaborating across teams and promoting Traba's mission within the industrial supply chain.

The Sr. Manager in AI/ML Engineering at NIKE will lead teams of machine learning engineers and data scientists to deliver scalable AI solutions. This role involves mentoring, driving innovation, and executing on AI/ML strategies while ensuring engineering excellence. The candidate will collaborate across teams to implement MLOps practices and stay current with industry trends.

As a Lead Machine Learning Engineer, you will develop advanced analytics and machine learning solutions impacting the business. Responsible for full project ownership, you will utilize technologies like Python, AWS, and various data engineering tools to implement scalable applications, while leading and mentoring a team in an agile environment.