WorldGen and Sim Realism Machine Learning Engineer (all levels)

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Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first AI agentic vehicle — fully autonomous, automotive-grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence — a personal AGI that enables more time, freedom, and autonomy. We’re forging an alternative path where AGI serves only you, and is controlled solely by you. 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. Join us to shape the future! Work with brilliant minds on technology transforming automotive industry 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 Tensor autonomous vehicle driver. LocationsSan Jose, California, US (Salary Range: $75k—$300k USD)Barcelona, Catalonia, SpainSingaporeDubai, UAEResponsibilitiesFine-tune pre-trained LLM/VLM models to generate realistic scenariosDevelop 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 bugsOptimize ML models’ qualities and performance, and integrate them in large scale simulation systemDevelop novel methods to measure sim realism in the context of several simulator tech and applicationsDevelop systems that can automatically discover useful realism metrics to guide simulator developmentCollaborate 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 Tensor autonomous vehicle driverQualificationsMaster degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience2+ years of production experiences in one or more of the following areas: generative models, DNN, GAN/VAE, reinforcement learning, LLM/VLM2+ years of experiences working on large scale software productsStrong C++ or Python coding skills and system design skillsProficiency in SQL and working with large databaseExcellent communication, strong analytical thinking and problem-solving skillsExperience in mentoring/influencing junior engineersPreferences2+ years of experience navigating a complex product space and setting technical roadmapsExperience with autonomous vehicle technology or roboticsExperience leading cross-functional collaborationsWe appreciate your interest in joining Tensor. Tensor is an equal employment opportunity employer, dedicated to fostering a respectful, supportive, and inclusive workplace for all. We do not discriminate against, and strictly prohibit harassment of, any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, military or veteran status, genetic information, or any other characteristic protected by applicable law. Tensor also considers qualified applicants with criminal histories in accordance with applicable laws. We are committed to providing equal opportunities for qualified individuals with disabilities. Tensor is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of rac