Research Scientist

OverviewHorizon Robotics(HKEX: 9660) is a leading provider of Smart Driving solutions for passenger vehicles, empowered by our proprietary software and hardware technologies. Our solutions combine cutting-edge algorithms, purpose-built software and processing hardware, providing the core technologies for smart driving that enhance the safety and experience of drivers and passengers. Horizon Robotics is key enabler for the smart vehicle transformation and commercialization with our integrated solutions deployed at scale.The Silicon Valley Research Lab focuses on developing novel algorithms and technologies to allow machines to learn new knowledge and skills as efficient as human. We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Reinforcement learning (RL), Robotics, Large Language Models (LLM), etc.As a Research Scientist in the team, you will conduct research within a specialized focus area and collaborate with internal and external world-class researchers and applied engineering teams. Responsibilities Propose and formulate research problems towards solving AGI Design, implement and evaluate algorithms, models and prototypes of AI systems Collaborate with team members to achieve research goals Report and present research findings internally and externally (such as in top tier academic journals and/or conferences) Qualifications PhD degree (or close to completion) in computer science, machine learning, robotics, or related field, with a broad knowledge of machine learning approaches and theory Track record of coming up with and implementing new ideas in AI Strong ability in mathematically modeling real world problems Strong ability in implementing algorithms and systems Hunger for learning new things Passion in artificial general intelligence and willingness to do challenging deep research Experience in one or more fields of artificial intelligence such as machine learning, natural language processing, computer vision, reinforcement learning, robotics, large language models, etc. Applicants must be able to obtain work authorization in the U.S. at the time of hire, and maintain ongoing work authorization during employment. Role Details This is a hybrid role with the expectation of working at least 3 days a week in our Cupertino office. The base pay range for this full-time Research Scientist position is between $150,000 and $230,000/year, depending on your experience, qualifications, education, skills and other related factors. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, Paid Holidays, Sick Days and Personal Time Off. We also sponsor H-1B visas and green card petitions. Internship Opportunities We also welcome talented individuals currently pursuing a Ph.D. degree in the above related fields to join us for an internship to work with our researchers and gain industry exposure and hands-on experience. Internship can be done either remotely at your school or in a hybrid format. You must obtain Curricular Practical Training (CPT) or Optional Practical Training (OPT) authorization. EEO and Privacy We are committed to be an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations. We are also committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know. Privacy Notice to California Employees and Job Applicants (Additional Details Seniority level: Internship Employment type: Full-time Industries: Motor Vehicle Manufacturing Referrals increase your chances of interviewing at Horizon Robotics by 2x #J-18808-Ljbffr

Created: 2025-09-17