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.
