Applied Research Engineer

HORIZON ROBOTICS: Make human life safer and better

About Horizon Robotics

Horizon Robotics is a leading provider of energy-efficient computing solutions for advanced driver assistance systems (ADAS) and autonomous driving (AD) for smart vehicles, with the mission to make human life safer and better. As a pioneer to commercialize embedded passenger-vehicle ADAS and AD products in China, Horizon Robotics is committed to enhancing next-generation smart driving experiences by integrating hardware and software, including low-power hardware computing solutions and open software development tools. By closely collaborating with a community of partners, Horizon Robotics offers products and services that enable an open ecosystem of smart vehicle transformation.

Company website: https://horizon.cc/

As a member of the Horizon Robotics family, we are a research team located in Silicon Valley, dedicated to developing advanced algorithms and models for ADAS, AD, and other generic robotics systems. 

If you are looking for a role to explore, develop and innovate machine learning algorithms for ADAS and AD technologies, you are welcome to join us. 

Your Daily Practice

As an applied research engineer, you will take part in:

1. Exploring novel deep-learning based algorithms and convert them to prototypes of autonomous driving solutions, including but not limited to perception, prediction, and planning.

2. Practicing end-to-end machine learning skills, including data pipelining, model construction, and performance testing. 

3. Following the latest trends from academia and extend them to real industrial development.

4. Attending renowned autonomous driving challenges.

5. Publishing research papers in top notch conferences in machine learning domain.

6. Showcasing the work via presentation in internal and external talks, conferences, and workshops.

What You Must Have

1.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.

2. Expertise in at least one of these specific areas: model-based behavior prediction and planning, vision-language models, and reinforcement learning.

3. Track record of driving ML research projects from start to completion, including conception, problem definition, experimentation, iteration, and publication or productization.

4. Strong programming skills in Python and/or C .

5. Extensive experience with ML frameworks such as PyTorch and Jax.

6. Strong verbal and written communication skills.

Bonus points!

1. Track record in innovative solutions to real-world problems in machine learning domain.

2. Experienced with closed-loop methods in solving prediction and planning problems.

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.