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Maven Robotics

General-purpose dual-arm mobile warehouse manipulators

Robotics AI Research Engineer - Corl

AI ResearchPosted on Nov 13
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • An MS or PhD in Computer Science, Robotics, Machine Learning, or a related field, or equivalent industry experience.
  • Advanced understanding of transformers, multimodal alignment, and mapping perception to high-frequency motor control.
  • Proven ability to innovate within one or more of VLA models, real-world reinforcement learning, or large-scale data infrastructure.
  • Expert-level Python skills and deep familiarity with PyTorch or JAX.

Responsibilities

  • Design model architectures, including Vision-Language-Action frameworks and world models, to achieve high task success with minimal human demonstrations.
  • Develop co-training strategies and efficient learning algorithms that use diverse data sources, including Internet-scale video and sparse, high-fidelity human interventions.
  • Build models that adapt zero-shot or few-shot to new robot configurations and maintain high success rates as hardware and actuation systems evolve.
  • Formulate and deploy reinforcement learning and policy extraction methods for physical, real-world manipulation.
  • Collaborate on data collection systems that capture human intervention data for model bootstrapping.

Desired Qualifications

  • A track record of high-impact publications at NeurIPS, ICRA, RSS, or CVPR, or significant open-source contributions.
  • Experience with large-scale distributed training and model compression.
  • Experience deploying models to edge devices such as NVIDIA Jetson or Orin for real-time inference.
  • General knowledge of robotics principles, including kinematics and dynamics.

About the Company

Maven Robotics

General-purpose dual-arm mobile warehouse manipulators

Maven Robotics builds general-purpose dual-arm mobile robots for industrial warehouses, starting with mixed-case palletizing. The wheeled robots move about 10 mph, lift up to 30 kg, and connect with warehouse management systems to turn inbound pallets into store-ready mixed loads. They demonstrate long, high-uptime operation at partner sites and focus on optimizing end-to-end warehouse flows with a versatile dual-arm platform. The company plans multiple robot generations and aims to scale deployment across warehouses to hundreds of units, expanding automation beyond palletizing.

Company size
11-50
Company stage
Series A
Total funding
$100M
Headquarters
Santa Clara, CA
Founded
2024

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