Academic Collaborator

Join to apply for the Academic Collaborator role at Experis
.

We are seeking an Academic Collaborator with a strong research background in machine learning, data science, or related fields to help drive innovation in our research and product development efforts. This is a part‑time (20 hours/week) role ideal for a current Ph.D. student or researcher with a record of publications at top ML conferences (
ICML
, NeurIPS
, ICLR
, etc.). The collaborator will provide expertise in designing methodologies, developing tools, and advancing cutting‑edge projects with direct impact on product innovation.

• Collaborate with research teams on ongoing product and technology research.
• Design and implement new methodologies and tools for machine learning research.
• Conduct independent and collaborative research on user behavior, data, and models.
• Partner with engineers, analysts, and product stakeholders to integrate research findings.
• Publish and present research findings as appropriate.

• Current Ph.D. student in Machine Learning, Data Science, Computer Science, Statistics, or related field.
• Strong publication record in peer‑reviewed AI/ML conferences (e.g., NeurIPS, ICML, ICLR).
• Solid foundation in modern ML methodologies and statistical modeling.
• Demonstrated ability to conduct high‑quality independent research.
• Excellent communication and collaboration skills.
• Authorized to work in the U.S.

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

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