AI research Scientist

Required Skills & Experience

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.
• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Job Description

Insight Global is seeking a multiple experienced, driven AI Research Engineer to join an established health technology company to join the team in San Jose, CA. This is a full-time, permanent role with competitive salary, bonus, comprehensive benefits, and relocation is offered.

In this role you'll need:

• Design and Run ML Experiments: Set up and analyze machine learning experiments, build strong baselines, and choose the right evaluation metrics for each task.
• Stay Current with AI Research: Continuously explore new research developments and adapt cutting-edge techniques to solve real-world business problems.
• Establish Evaluation Standards: Define robust evaluation methods, including offline metrics, user studies, and adversarial (red team) testing, to ensure reliable and meaningful results.
• Data & Annotation Strategy: Determine data and labeling needs, create clear annotation guidelines, and manage quality assurance for labeled datasets.
• Cross-Functional Collaboration: Work closely with domain experts, product managers, and engineers to refine problem definitions and align on technical and business constraints.
• Build Reusable Research Tools: Develop and maintain reusable assets like datasets, modular code libraries, evaluation tools, and thorough documentation.
• Optimize ML Pipelines: Partner with ML Engineers to fine-tune training and inference workflows, ensuring smooth deployment into production environments.
• Contribute to the Research Community: Support academic publications and represent the company at conferences and in research forums when needed.