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Menlo Research

Robotics Research Scientist

Reposted 14 Days Ago
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In-Office or Remote
Hiring Remotely in Singapore
Expert/Leader
In-Office or Remote
Hiring Remotely in Singapore
Expert/Leader
The Robotics Research Scientist will develop and maintain PyTorch training code, optimize model training, and ensure reproducibility while focusing on high-quality engineering practices.
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    About the Role 

    We’re looking for a Robotics Research Scientist who blends frontier research curiosity with engineering discipline. You’ll work at the core of our research efforts, training state-of-the-art locomotion algorithms, integrating sensor arrays, processing large amounts of multi-modal data from our numerous robots. Your research is meant to make an impact in the real world. 

    This role is ideal for someone who thrives in a highly interdisciplinary environment, understands how to explain their domain knowledge to an intelligent but uninformed audience. 

    What You’ll Do

    • Apply state-of-the-art research to real-life applications
    • Invent solutions to novel challenges that arise from deploying robots outside a lab
    • Design hardware requirements in conjunction with research problems

    You Should Have

    • Expertise in a domain related or transferable to robotics
    • The willingness to get your hands dirty with the difficult work of deploying your research
    • A curious mind and a passion for publishing good high impact research

    Bonus Points For

    • Experience or Education in Electrical or Mechanical Engineering
    • Experience with TorchScript, ONNX, or custom inference runtimes
    • Contributions to PyTorch or open-source ML tooling
    • Experience working on transformer models, diffusion models, or large-scale vision/NLP tasks
    • Familiarity with the drawbacks and limitations of ROS/ROS2
    • A history of making deep contributions across varied disciplines

    Why Join Us

    • Collaborate with a world-class research team on meaningful, high-impact projects
    • Own and shape the core training code infrastructure used daily by the team
    • Work on real models, real data, and real scale — not toy problems
    • Help bridge the gap between research velocity and engineering quality
    • Flexible work environment with a culture that values depth, clarity, and curiosity

      Top Skills

      C++
      Ddp
      Nccl
      Onnx
      Python
      PyTorch
      Slurm
      Tensorboard
      Torchscript
      Weights & Biases

      Menlo Research Singapore Office

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