Top Entry Level Machine Learning Jobs in Raleigh, NC

Client-facing, project-based role building and delivering quantitative models and analyses for financial services. Work with large datasets, develop end-to-end models, present client-ready results, and collaborate across teams. Some travel to client sites; Raleigh-based.

The Enrollment Advisor helps prospective patients through the onboarding process, providing information and support throughout their enrollment in Revero's program.

Transfyr seeks adaptable builders for various roles across CS, biology, and business. Responsibilities include developing sensor stacks, data harmonization, computer vision, machine learning systems, lab operations, project management, and business development.

Review, label, and QA datasets for AI/ML training; maintain trackers, databases, and dashboards; follow annotation guidelines and SOPs; prepare and clean data; document processes; collaborate to resolve data queries while ensuring confidentiality and timely delivery.

Design, develop, and implement AI/ML models; analyze large datasets; integrate AI solutions into existing systems; apply MavLink for autonomous systems; collaborate across teams and improve ML development processes.

Lead onboarding and training for new customers of an AI-powered construction SaaS. Customize training, run webinars and office hours, create documentation, drive user adoption, surface issues with support, and collaborate with product and customer success to refine onboarding processes.

Support FATCA and CRS filings by reviewing investor documentation, validating data, maintaining audit trails, liaising with internal teams, assisting system testing and automation, monitoring regulatory updates, and responding to client inquiries while driving process improvements.

As an Associate Product Manager, you will drive the product roadmap for internal tools, support Sales and Customer Success teams, and integrate AI-driven automation to improve workflow efficiency.

Develop and optimize state-of-the-art deep learning and ML techniques for current and next-generation GPUs. Analyze and tune performance, provide GPU-based AI solutions to customers, and collaborate with architecture, research, libraries, tools, and system software teams to influence future hardware and software designs.

This is a general talent-community application inviting candidates across many functions to submit resumes. Recruiting will review and retain applications for future openings; candidates should highlight experience, accomplishments, and interests for potential remote roles.

Join Oliver Wyman's Data & Analytics team to design and implement analytics and ML solutions, build prototypes, communicate results to clients, and support projects across industries including finance, energy, retail, and transportation.

Participants are needed for an AI technology research study, offering compensation up to $600 for ~1.5-2 hours of participation over one week, requiring skills in tech-related roles.

OneSix is seeking motivated professionals for future opportunities in data and AI consultancy. Interested candidates should submit their resumes to stay in touch.

Join Invoca's Talent Community to stay updated on job openings and to explore exciting career opportunities across various departments.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.

Research, deploy, and maintain AI models and automation solutions; integrate systems and APIs; manage AWS infrastructure and PostgreSQL databases; build BI dashboards; monitor and optimize AI systems and provide technical support.

Paid 3-month remote contract for students or recent grads to build and test LLM-based solutions using the Token Factory inference platform. Assist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization. Run performance and quality experiments and contribute to internal tooling and automation. Mentorship provided; strong performers may be considered for full-time roles.

Work across the AI Development Lifecycle to design, develop, test, deploy, and monitor AI-driven features. Build scalable backend services and APIs integrating ML models, assist with data preprocessing and feature engineering, implement model validation and CI/CD for models, and support debugging, performance tuning, and continuous improvement of AI-enabled applications.

The AI Data Specialist role involves data collection, evaluation, annotation, and labeling for AI-generated content in English.

The Data & Analytics team at Surescripts transforms healthcare data into actionable insights, collaborating with various stakeholders to support critical decisions across the healthcare ecosystem.

Design and build AI assistants for interactive 3D workflows: build NLP pipelines, integrate cloud and client LLMs, design knowledge graphs, fine-tune foundation models, prototype AI features, and improve personalization and system performance.

Develop, implement, and deploy scalable machine learning models for healthcare solutions. Collaborate cross-functionally to integrate models, analyze data to improve performance, ensure data quality, and stay current with ML advancements to support patient care and operational efficiency.

Build and maintain Quora's ML platform and ranking infrastructure to serve large-scale ML models. Work on GPU model serving, distributed systems, developer tooling, feature store modernization, and on-call rotation to ensure high availability, performance, and cost efficiency.