Applied Research Scientist

Horizon Robotics • Cupertino, CA

45d • $150,000 - $300,000 • Hybrid

About The Position

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 Applied Research Lab is a research team located in Silicon Valley, dedicated to developing advanced algorithms and models for Advanced Driver Assistance Systems (ADAS), Autonomous Driving (AD) , and other generic robotics systems. If you are looking for a role to explore, develop and innovate machine learning algorithms for AD and robotics technologies, you are welcome to join us.

Requirements

• PhD / MS degree in computer vision, machine learning or a related field with multiple research publications in top conferences or journals; alternatively equivalent years of industry experience solving CV problems which do not have readily available solutions.
• Expertise in at least one of these specific areas: deep learning-based perception, prediction and planning, vision-language models, and reinforcement learning.
• Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and publication or productization.
• Strong programming skills in Python and/or C++.
• Extensive experience with ML frameworks such as PyTorch and Jax.
• Strong verbal and written communication skills.

Nice To Haves

• Track record in innovative solutions to real-world problems in machine learning domain.
• Experienced with closed-loop methods in solving prediction and planning problems.

Responsibilities

• Devising novel deep-learning based algorithms and converting them to prototypes of autonomous driving solutions, including but not limited to training foundation models, post-training with reinforcement learning, and world models.
• Practicing end-to-end machine learning skills, including data pipelining, model construction and fine-tuning, and comprehensive performance testing.
• Following closely with academia, identifying the latest trends and extending them to real industrial development.
• Publishing research papers in top notch conferences in machine learning domain.
• Showcasing the work via presentation in internal and external talks, conferences, and workshops.

Benefits

• 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.
• annual discretionary performance bonus
• equity

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Ph.D. or professional degree