WorldGen and Sim Realism Machine Learning Engineer (all levels)

AutoX is a global leader in self-driving car technology, driven by our mission to "Democratize Autonomy" and accelerate the advent of fully driverless cars. Our cutting-edge self-driving cars are designed to tackle the most complex and dynamic traffic environments, from bustling city streets to ever-changing urban landscapes. In 2020, we became the second company to secure a fully driverless passenger vehicle permit in California — a key milestone in autonomy. With a world-class team of engineers and R&D centers across the U.S. and beyond, AutoX continues to innovate.

Join us to shape the future! Work with brilliant minds on technology transforming transportation and make a lasting impact.

The Offboard Discovery & Realism org builds state of the art simulations of realistic environments for training of autonomous vehicle. We use machine learning to model the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather. To guide the development of simulator realism components, we create metrics to measure realism, which are used to assess the quality of the simulator, identify sim2real gaps, and used as loss functions to train a more realistic simulator - which in turn is used to assess the quality of AutoX autonomous vehicle driver.

We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements.

Locations:

• San Jose, California, US (Salary Range: $75k—$300k USD)
• Barcelona, Catalonia, Spain
• Singapore
• Dubai, UAE

Responsibilities:

• Fine-tune pre-trained LLM/VLM models to generate realistic scenarios
• Develop ML models or fine-tune pre-trained ML models to enhance simulator and sim agents realism to maximize issue discovery coverage and ensure high precision of sim discovered bugs
• Optimize ML models’ qualities and performance, and integrate them in large scale simulation system
• Develop novel methods to measure sim realism in the context of several simulator tech and applications
• Develop systems that can automatically discover useful realism metrics to guide simulator development
• Collaborate with software engineers and data scientists that use ML models to improve scene generation, scene reconstruction, simulator and sim agents realism to power the evaluation of AutoX autonomous vehicle driver

Qualifications:

• Master degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 2+ years of production experiences in one or more of the following areas: generative models, DNN, GAN/VAE, reinforcement learning, LLM/VLM
• 2+ years of experiences working on large scale software products
• Strong C++ or Python coding skills and system design skills
• Proficiency in SQL and working with large database
• Excellent communication, strong analytical thinking and problem-solving skills
• Experience in mentoring/influencing junior engineers

Preferred Skills:

• 2+ years of experience navigating a complex product space and setting technical roadmaps
• Experience with autonomous vehicle technology or robotics
• Experience leading cross-functional collaborations

How to Apply:

• Send an email with your resume to careers@autox.ai with Job ID: 74

AutoX is an equal employment opportunity employer, committed to maintaining a supportive and inclusive workplace for all employees. AutoX does not discriminate against, and prohibits harassment of, any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, military status, genetic information or any other basis protected by applicable law in the respected countries.