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Senior Robotics Engineer - R&D

Sereact
Posted 12 days ago, valid for 23 days
Location

Boston, MA, US

Salary

Competitive

Contract type

Full Time

Paid Time Off

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Sonic Summary

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  • The company is a rapidly growing embodied AI firm based in Boston, focusing on revolutionizing human labor through advanced robotics and AI technologies.
  • They are seeking a Senior Robotics Engineer with a PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field, requiring significant experience in AI research environments.
  • The role involves developing Vision-Language-Action models for robotic interaction, optimizing algorithms for real-time applications, and contributing to high-impact research publications.
  • Candidates should have deep expertise in PyTorch or JAX, along with knowledge of Vision-Language models and their application in robotics.
  • The position offers a competitive salary, benefits including medical insurance and a 401(k) with a company match, and 20 days of paid time off.

Who We Are:

We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities.

Overview:

We are looking for a world-class Senior Robotics Engineer to join our R&D hub in the Boston area. In this role, you will be at the forefront of developing Vision-Language-Action (VLA) models that enable robots to understand and interact with the world with unprecedented generalization. You will work on the intersection of large-scale foundation models and real-world robotic execution, bridging the gap between state-of-the-art research and deployed embodied intelligence.

Your Responsibilities:

Research & Development:

  • Design, implement, and scale VLA models and foundation architectures for robotic manipulation and navigation.

Scaling Laws & Data:

  • Develop strategies for multi-modal data collection, synthetic data generation, and efficient fine-tuning of large-scale models.

Algorithm Optimization:

  • Optimize model inference for real-time robotic applications without compromising reasoning capabilities.

Publication & Visibility:

  • Contribute to the global research community by publishing high-impact papers at top-tier conferences (NeurIPS, CVPR, ICRA, CoRL, etc.).

Collaboration:

  • Work closely with the Core Robotics and Hardware teams to integrate AI models into our physical platforms.

Qualifications:

Academic Excellence:

  • PhD or Master’s degree in Computer Science, Machine Learning, Robotics, or a related field, with a focus on Deep Learning and Computer Vision.

Proven Research Track Record:

  • Significant publications and citations at major conferences such as NeurIPS, CVPR, ICCV, ICRA, IROS, or CoRL.

Professional Background:

  • Experience working in leading AI research environments

Technical Mastery:

  • Deep expertise in PyTorch or JAX, experience with Transformers, Diffusion Models, and Large Language Models (LLMs).

Domain Knowledge:

  • Strong understanding of Vision-Language models and their application to Action/Control loops in robotics.

Location:

Boston, Massachusetts:

  • This role is based in our Boston office, offering a vibrant ecosystem for robotics and AI.

What We Offer:

Benefits:

  • Medical, dental, and vision insurance for you and your dependents

  • 401(k) with 100% company match, up to 6%

  • 20 days paid time off

  • Parental leave

  • Paid sick leave

  • Wellness or gym stipend

  • Learning and development support

  • Equity/Bonus

Additional Information

  • Employment may be contingent upon a background check consistent with applicable law.

  • We are an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, or any other status protected by law.




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