About the RoleWe are seeking exceptional AI researchers and engineers to architect the neural backbone of our general-purpose robots. You will design the
Vision-Language-Action (VLA) frameworks or
Action World Models that allow our robots to reason, adapt, and succeed where traditional automation fails.
We are hiring across
all levels (from early-career to staff/principal). You are not expected to be a master of every domain listed below; however, you must be able to justify
world-class excellence in at least one core factor (e.g., model architecture, RL formulations, or high-scale data systems).
What You'll Do- Architect Embodied Foundations: Design model architectures (VLA, World Models, etc.) that achieve ultra-high task success rates with minimal human demonstrations
- Master Data Efficiency: Develop novel co-training strategies and efficient learning algorithms that leverage diverse data sources-from Internet-scale video to sparse, high-fidelity human interventions
- Generalize Cross Embodiments: Build models capable of zero-shot or few-shot adaptation to new robot configurations, maintaining a high success rate even when proprietary hardware and actuation systems evolve
- Innovate Real-World RL: Formulate and deploy novel Reinforcement Learning and policy extraction methods specifically designed for physical, real-world manipulation
- Design the Data Loop: Collaborate on advanced data collection systems to capture critical human intervention data for model bootstrapping
What We're Looking For- MS or PhD in CS, Robotics, Machine Learning, or a related field (or equivalent industry experience)
- Deep Technical Mastery: Advanced understanding of transformers, multi-modal alignment, and mapping perception to high-frequency motor control
- Specialized Excellence: Proven ability to innovate-not just implement-within one or more areas: VLA models, Real-world RL, or large-scale Data Infrastructure
- Software Excellence: Expert-level Python and deep familiarity with PyTorch or JAX
Nice to Have- A track record of high-impact publications (NeurIPS, ICRA, RSS, CVPR) or significant open-source contributions
- Experience with large-scale distributed training and model compression
- Experience with deployment of models to edge devices (NVIDIA Jetson/Orin) for real-time inference
- General knowledge of robotics principles (kinematics, dynamics)
Compensation & BenefitsThe annual base salary range for this position is $175,000 - $350,000 USD plus equity. Compensation will be determined based on skills, qualifications, and role-related experience. Maven Robotics also offers comprehensive health benefits, 401k, and other employee benefits.
