Research Scientist

@ Horizon Robotics
Horizon Roboticshorizonrobotics.com

Research Scientist

Posted 8 months ago

This job is still taking applications, but it's been up a while.

About the job

Horizon Robotics develops Smart Driving solutions using advanced software and hardware. The Research Scientist role involves AI and ML research, collaboration, and solving complex challenges in Robotics, Embodied AI, and Reinforcement Learning.

Requirements

  • PhD in computer science or related
  • Experience in AI algorithms
  • Strong modeling skills
  • Implementing AI systems
  • Collaborative research experience

Qualifications

  • PhD or near completion
  • Knowledge of machine learning
  • Research publication record
  • Work authorization in the U.S
  • Passion for AGI research

Full job description

HORIZON ROBOTICS: Make human life safer and better

About Horizon Robotics

Horizon 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 efficiently as humans. We are looking for someone with expertise in and enthusiasm for machine learning research, especially in Robotics, Embodied AI, Reinforcement learning (RL), 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.

- 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)

Here is what we’d like to see in you:

- 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.

This is a hybrid role with the expectation of working at least 3 days per week in our Cupertino office.

The base pay range for this full-time Research Scientist position is between $150,000 and $300,000/year plus equity incentive, depending on your experience, qualifications, education, skills and other related factors.

This position is also eligible for an annual performance bonus, and a competitive benefits package. Employees have day one access to medical, dental, and vision insurance. We also offer a 401(k) savings plan with company match, Paid Holidays, Sick Days and Personal Time Off (PTO). 

OPT extension, H-1B visas and green card petitions are sponsored.


Horizon Robotics is 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.


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