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WorldGen and Sim Realism Machine Learning Engineer (all levels)

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Simulation and Infrastructure
Full-Time
San Jose, California, US
Singapore
Dubai, UAE
Barcelona, Spain
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Tensor is an agentic AI company dedicated to building agentic products that empower individual consumers. 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.

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 Tensor 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

Preferences

  • 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

We 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 race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.