Senior Robotics Engineer — VLA Vision for Robotic Autonomy

Sereact; Massachusetts; On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

20 days paid time off

Parental leave

Paid sick leave

Wellness or gym stipend

Learning and development support

Equity/Bonus

Job summary

Sereact is seeking a Senior Robotics Engineer for its Boston, MA R&D hub to lead the development of Vision-Language-Action models for autonomous robotics. You will bridge research and deployment, advancing foundation models and real-world robotic execution.

Key requirements include a PhD or Master’s in CS/ML/Robotics, strong publications, and deep expertise in PyTorch or JAX, Transformers, Diffusion Models, and LLMs. Collaboration with Core Robotics and Hardware teams is essential.

Qualifications

• PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field.
• Significant publications and citations at major conferences (NeurIPS, CVPR, ICCV, ICRA, IROS, CoRL).
• Proven experience in leading AI research environments and delivering state-of-the-art results.

Responsibilities

• Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation.
• Develop strategies for multi-modal data collection and efficient fine-tuning of large-scale models.
• Optimize model inference for real-time robotic applications while preserving reasoning capabilities.
• Collaborate with Core Robotics and Hardware teams to deploy AI models on physical platforms.

Skills

Deep Learning

Vision-Language Models

Robotics Research

PyTorch

JAX

Transformers

Diffusion Models

LLMs

C++/Python

Education

PhD in Computer Science / ML / Robotics

Master’s degree in CS / ML / Robotics

Tools

PyTorch

JAX

Transformers

Diffusion Models

LLMs

Job description

Sereact is seeking a Senior Robotics Engineer for its Boston, MA R&D hub to lead the development of Vision-Language-Action models for autonomous robotics. You will bridge research and deployment, advancing foundation models and real-world robotic execution.

Key requirements include a PhD or Master’s in CS/ML/Robotics, strong publications, and deep expertise in PyTorch or JAX, Transformers, Diffusion Models, and LLMs. Collaboration with Core Robotics and Hardware teams is essential.