Do you enjoy applying machine learning to complex, real-world problems in autonomous vehicle testing? The Simulation Scenario Generation team is looking for a ML Engineer to enable next-generation scalable AV scenario creation workflows. This ranges from generating large-scale traffic simulations to extending our agentic AI system to assist in synthetic scenario creation from a natural language test specification. This role offers a unique chance to deliver immediate user impact while contributing to long-term AI-driven safety validation.
In this role, you will:
Contribute to tooling for AI-based scenario understanding and validation.
Synthesize realistic AV simulation scenarios with dynamic (e.g., traffic) and static features.
Integrate and validate LLMs/VLMs and implement other models for complex scenario generation workflows, leveraging techniques like agentic tool use.
Collaborate directly with internal customers and partner teams to provide generative AI solutions for their test creation workflows.
Directly contribute to the safety and reliability of Zoox's autonomous software.
Qualifications
MS or PhD in Computer Science, Machine Learning, or related field
5+ years of industry experience in Machine Learning
Proficiency in Python and ML libraries (PyTorch, JAX, NumPy, etc.) demonstrated through professional or research projects
Demonstrated experience in transformer and diffusion architectures
Practical experience in dataset creation for fine-tuning, system integration of ML models into production, or optimization techniques for low-latency inference systems
Bonus Qualifications
Familiarity with autonomous vehicles, robotics, and/or complex simulation environments
Hands-on experience in areas like program synthesis and/or formal methods/V&V
Relevant publications in conferences (e.g., CVPR, ICCV, RSS, and/or ICRA)
Additional Information
About Zoox
Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter.
A Final Note:
You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Estas cookies son necesarias para que el sitio web funcione y no se pueden desactivar en nuestros sistemas. Puede configurar su navegador para bloquear estas cookies, pero entonces algunas partes del sitio web podrían no funcionar.
Seguridad
Experiencia de usuario
Cookies orientadas al público objetivo
Estas cookies son instaladas a través de nuestro sitio web por nuestros socios publicitarios. Estas empresas pueden utilizarlas para elaborar un perfil de sus intereses y mostrarle publicidad relevante en otros lugares.
Google Analytics
Anuncios Google
Utilizamos cookies
🍪
Nuestro sitio web utiliza cookies y tecnologías similares para personalizar el contenido, optimizar la experiencia del usuario e indvidualizar y evaluar la publicidad. Al hacer clic en Aceptar o activar una opción en la configuración de cookies, usted acepta esto.
Los mejores empleos remotos por correo electrónico
¡Únete a más de 5.000 personas que reciben alertas semanales con empleos remotos!