Rocket Lab
At World Labs, our mission is to revolutionize artificial intelligence by developing Large World Models, taking AI beyond language and 2D visuals into the realm of complex 3D environments, both virtual and real. We're the team that's envisioning a future where AI doesn't just process information but truly understands and interacts with the world around us.
We're looking for the overachievers, the visionaries, and the relentless innovators who aren't satisfied with the status quo. You know that person who's always dreaming up the next big breakthrough? That's us. And we want you to be part of it.
Role Overview We are seeking a talented
Research Engineer specializing in 3D Modeling
to join our modeling team. This role is ideal for someone passionate about developing and implementing
cutting-edge 3D representation
and
machine learning models
that generate sophisticated 3D scenes and objects, ranging from intricate details to expansive environments. You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment. Key Responsibilities
Develop and implement state-of-the-art
3D representations
and
machine learning models
to accurately capture and generate detailed 3D structures.
Design and model
small to large-scale objects and complex scenes , applying computer vision, graphics, and generative AI techniques.
Collaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps.
Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment.
Continuously explore and integrate cutting-edge research in 3D modeling and generative AI.
Act as a key technical resource within the team, mentoring colleagues, and driving best practices in 3D modeling and ML engineering.
Ideal Candidate Profile
3+ years of experience in
3D modeling, graphics, or applied ML roles , ideally within startup or fast-paced research environments.
Extensive experience with
machine learning frameworks
such as PyTorch or TensorFlow, especially in the context of generative models and 3D representations.
Deep expertise in at least one area of
computer graphics, 3D reconstruction, neural rendering, generative AI for vision , or related fields.
Proven ability to deliver high-quality
3D modeling projects
that involve complex object and scene generation.
Strong academic track record or demonstrated expertise in 3D modeling, machine learning and/or rendering.
Strong coding proficiency in Python and experience with GPU-accelerated computing.
Ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes.
Comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.
Nice to Have
Contributions to open-source projects in the fields of computer vision, graphics, or ML.
Familiarity with large-scale training infrastructure (e.g., multi-node GPU clusters, distributed training environments).
Experience integrating machine learning models into production environments.
Experience writing custom graphics or rendering related CUDA operators for use in ML frameworks such as PyTorch
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Role Overview We are seeking a talented
Research Engineer specializing in 3D Modeling
to join our modeling team. This role is ideal for someone passionate about developing and implementing
cutting-edge 3D representation
and
machine learning models
that generate sophisticated 3D scenes and objects, ranging from intricate details to expansive environments. You will collaborate closely with researchers, engineers, and product teams to bring advanced 3D modeling and machine learning techniques into real-world applications, ensuring that our technology remains at the forefront of visual innovation. This role involves significant hands-on research and engineering work, driving projects from conceptualization through to production deployment. Key Responsibilities
Develop and implement state-of-the-art
3D representations
and
machine learning models
to accurately capture and generate detailed 3D structures.
Design and model
small to large-scale objects and complex scenes , applying computer vision, graphics, and generative AI techniques.
Collaborate closely with research and product teams to understand and translate product requirements into effective technical roadmaps.
Contribute hands-on to all stages of model development including data curation, experimentation, evaluation, and deployment.
Continuously explore and integrate cutting-edge research in 3D modeling and generative AI.
Act as a key technical resource within the team, mentoring colleagues, and driving best practices in 3D modeling and ML engineering.
Ideal Candidate Profile
3+ years of experience in
3D modeling, graphics, or applied ML roles , ideally within startup or fast-paced research environments.
Extensive experience with
machine learning frameworks
such as PyTorch or TensorFlow, especially in the context of generative models and 3D representations.
Deep expertise in at least one area of
computer graphics, 3D reconstruction, neural rendering, generative AI for vision , or related fields.
Proven ability to deliver high-quality
3D modeling projects
that involve complex object and scene generation.
Strong academic track record or demonstrated expertise in 3D modeling, machine learning and/or rendering.
Strong coding proficiency in Python and experience with GPU-accelerated computing.
Ability to engage effectively with researchers and cross-functional teams, clearly translating complex technical ideas into actionable tasks and outcomes.
Comfortable operating within a dynamic startup environment with high levels of ambiguity, ownership, and innovation.
Nice to Have
Contributions to open-source projects in the fields of computer vision, graphics, or ML.
Familiarity with large-scale training infrastructure (e.g., multi-node GPU clusters, distributed training environments).
Experience integrating machine learning models into production environments.
Experience writing custom graphics or rendering related CUDA operators for use in ML frameworks such as PyTorch
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