PerplexityBerlin
SereactPosted 1mo ago
Senior Research Scientist
Senior Research Scientist at Sereact scores 96 out of 100 on AI centrality, which makes it a Level 4 role on this board.
AI in this role
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 Research Scientist 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.
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.
Boston, Massachusetts:
This role is based in our Boston office, offering a vibrant ecosystem for robotics and AI.
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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Walk me through a computer vision problem you solved, from raw data to a deployed model.
- Tell me about a research question you investigated. What did you find?
- What's a project where you used PyTorch hands-on?
- Walk me through how you've used Jax in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Fine Tuning, Computer Vision, AI Research, PyTorch, and Jax. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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