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Open nowFirst seen 6 days ago

Senior ML Research Engineer mountain view

ESRhealthcare and EXEC STAFF RECRUITERS1,404 open roles

Where
Mountain View, California, United States
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Your applicationOpen nowSenior ML Research Engineer mountain viewESRhealthcare and EXEC STAFF RECRUITERS · Mountain View, California, United States

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: first seen 6 days ago

The posting

Senior ML Research Engineer mountain view

Senior ML Research Engineer, Manipulation to advance robotic manipulation capabilities, enabling dynamic and physically interactive tasks. You will design and deploy algorithms for dexterous manipulation tasks and deploy for real-world applications.

Responsibilities

Design and deploy algorithms for dexterous manipulation tasks.

Develop motion planning models for dynamic environments.

Deploy models as production-ready solutions on RoboForce robots.

Create and enhance contact-rich robot learning stacks through physics-based simulation. Requirements

Master's degree in Machine Learning, Robotics, or related field with 4+ years of experience or a PhD degree.

Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.).

Expertise in imitation learning, reinforcement learning, tactile sensing and robotics learning.

Proficiency with one or more physical simulators (e.g., MuJoCo, IsaacSim, Drake, PyBullet, PhysX) and experience working in a deployed robotics environment.

Proficiency in Python, and deep learning frameworks (e.g., PyTorch, JAX).

Requires 5 days/week in-office collaboration with the teams. Bonus Qualifications

Expertise in large foundation models (VLM, VLA, etc).

Strong publication on top conferences in robotics manipulation.

Expertise in neural network deployment (e.g., TensorRT) and GPU programming with CUDA.

Proven ability to design scalable experimentation and data pipelines.

Familiarity with 3D computer vision and/or graphics pipelines Benefits

Competitive stock options/equity programs.

Health, dental, and vision insurance, 401(k) plan.

Visa sponsorship and green card support for qualified candidates.

Lunches and dinners, a fully stocked kitchen, and regular team-building events.

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