Research Scientist (Mandarin Speaking)

Position: Research Scientist (RS) – Reinforcement Learning & AI Algorithm Development
Location: On-site, 5 days per week (no remote option)
Reports to: Head of Data Team

Role Overview
We are seeking a Research Scientist (RS) with deep expertise in Reinforcement Learning (RL) and advanced AI algorithm development. In this role, you will design, prototype, and deploy state-of-the-art ML/AI solutions for diverse applications, from user behavior modeling and real-time optimization to anomaly detection and multi-agent systems. You will collaborate closely with cross-functional teams in a fast-paced, on-site environment, driving both research and product impact.

Key Responsibilities
Algorithm Research & Development

Lead the research, prototyping, and refinement of advanced RL and AI algorithms (e.g., multi-agent collaboration, real-time optimization, anomaly detection).
Conduct daily code reviews and performance optimizations with Machine Learning Engineers.
Maintain clean, well-documented code and contribute to best practices for reproducible research.
On-site Cross-Functional Collaboration

Work on-site with product managers, data engineers, and other stakeholders to align AI solutions with business objectives and technical constraints.
Provide expert guidance on the feasibility and scalability of proposed AI features or improvements.
Research Output & Thought Leadership

Contribute to internal technical standards, best practices, and AI/ML frameworks.
Mentor junior researchers and engineers, sharing knowledge on cutting-edge RL/AI techniques.

Qualifications
Educational Background

PhD in Computer Science, Applied Mathematics, Statistics, or a related field (with a focus on Reinforcement Learning or dynamic system optimization), OR
Master’s degree with 5 years of full-time AI research experience.
Research & Deployment Experience

For PhD candidates:
1 first-author papers at top-tier conferences OR 2 SCI journal papers.
1 complete algorithm deployment from theoretical formulation to real-world A/B testing.
For Master’s candidates:
5 years of full-time AI research plus 3 first-author top-tier papers, OR
3 first-author papers 1 high-impact patent with demonstrated commercialization success.

Must be Chinese Mandarin Fluent

Technical Expertise

Proficiency in Reinforcement Learning and relevant libraries (e.g., TensorFlow, PyTorch).
Strong background in dynamic system optimization, multi-agent systems, or real-time decision-making.
Solid programming skills in Python and/or C , including experience with version control and CI/CD pipelines.
Preferred Qualifications
Experience integrating AI algorithms with software engineering frameworks (e.g., game engines like Unity/Unreal, robotics platforms, or similar environments).
Familiarity with real-time data processing frameworks (Flink, Kafka) and lightweight model deployment (e.g., containerization, microservices).
Demonstrated ability to collaborate in cross-functional, on-site teams spanning product, engineering, and operations.

Why Join Us
Innovative Environment: Be part of a team pushing the boundaries in RL and AI for various applications, including large-scale user systems and emerging tech domains.
Professional Growth: Collaborate with leading experts, and drive end-to-end solutions—from theory to production.
Dynamic Culture: Join a fast-paced setting that prioritizes creativity, problem-solving, and continuous learning.

Job Type: Full-time

Pay: From $80,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Parental leave
• Retirement plan
• Vision insurance

Schedule:

• Monday to Friday

Language:

• Chinese (Required)

Ability to Commute:

• Irvine, CA 92618 (Required)

Ability to Relocate:

• Irvine, CA 92618: Relocate before starting work (Required)

Work Location: In person

Salary : $80,000