Research Scientist - Personalization

Ladders; United States; Remote; USD 133,000 - 190,000; Full time

Benefits offered by this job

Health insurance

Parental leave

401(k)

Meal allowance

Paid time off

Flexible holidays

Job summary

Ladders is seeking a Research Scientist - Personalization to advance ML/AI research for personalization at scale across media experiences. The role will shape the research agenda, develop methods for evaluating personalization systems, and translate findings into product opportunities.

Remote within the US, visa sponsorship not available. You will collaborate with cross-functional teams, publish in top venues, and mentor others in a fast-evolving research environment focused on large-scale

Qualifications

• Master's or PhD in ML/AI or equivalent research experience.
• Peer‑reviewed publications at top conferences.
• Hands-on experience in post‑training and reinforcement learning.
• Experience designing experiments with real-world datasets.
• Passion for understanding user behavior and personalization.
• Curiosity and collaboration across diverse teams.

Responsibilities

• Conduct original ML/AI research focused on foundation models and generative AI.
• Develop methodologies and evaluation frameworks for personalization systems.
• Design and run rigorous experiments to test hypotheses.
• Publish findings and participate in conferences and the scientific community.
• Collaborate with cross-functional partners to translate research into product opportunities.
• Help define and evolve a research agenda aligned with personalization strategy.
• Mentor others and foster a collaborative research culture.

Skills

Machine Learning

AI Research

Experimentation

Education

Master's or PhD in ML/AI

Job description

For our client, we are seeking a Research Scientist - Personalization to join the team of a leader in the Media space.

This role will advance machine learning and AI research that improves personalization at scale across media experiences. The scientist will help shape the research agenda, develop novel methods for evaluating and improving recommendation and personalization systems, and turn research findings into opportunities for product impact. This position also partners closely with cross-functional teams and contributes to the broader scientific community through high-quality publications.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $133,194 – $190,278 annually

Responsibilities

• Conduct original research in machine learning and AI, with a focus on large-scale foundation models and generative AI.


• Develop novel methodologies and evaluation frameworks for personalization systems.


• Design and execute rigorous experiments to validate research hypotheses.


• Contribute to the scientific community through publications and conference participation.


• Collaborate with cross-functional partners to translate research insights into product opportunities.


• Help define and evolve a research agenda aligned with personalization strategy.


• Mentor others and foster a collaborative research culture.

Qualifications

• Master's or PhD in machine learning, AI, or a related field, or equivalent research experience.


• Demonstrated expertise in machine learning and AI through peer-reviewed publications at top conferences.


• Deep knowledge of machine learning with hands‑on experience in post‑training and reinforcement learning.


• Experience designing experiments and working with real-world datasets.


• Passion for advancing user behavior understanding and improving content experiences.


• Curiosity and creativity in solving complex problems.


• Ability to collaborate effectively and value diverse perspectives.

Benefits

• Health insurance


• Six months paid parental leave


• 401(k) retirement plan


• Monthly meal allowance


• 23 paid days off


• 13 paid flexible holidays

Our client is an equal opportunity employer.