Develop and refine ML pipelines for robotic solutions, evaluate advanced research, optimize models for real-time applications, and ensure integration with product teams.
We are seeking a Senior ML Research Engineer to design and refine cutting-edge AI systems for next-generation robotics. You will build robust onboard and offboard AI foundations, driving innovation in machine learning pipelines and real-time robotics applications.
Responsibilities:
- Develop experimental ML pipelines for robotics solutions, focusing on onboard and offboard AI stacks.
- Implement and evaluate advanced robotics and ML research, adapting techniques to solve emerging challenges.
- Optimize inference speed of large models for real-time robotics applications.
- Build and maintain scalable, end-to-end differentiable evaluation systems.
- Collaborate with robotics, hardware, and product teams for seamless AI model integration.
Qualifications:
- PhD in Machine Learning, AI, Robotics, Computer Science, or related field with 3+ years of industry experience.
- Proficiency in multimodal models, modern ML architectures (e.g., transformers, diffusion models), and reinforcement learning.
- Expertise in deep learning frameworks such as PyTorch, JAX, or TensorFlow.
- Strong programming skills in C++ and Python.
- Must be on-site with no remote work option.
Preferred Skills:
- Experience in designing high-quality ML experimentation and data pipelines.
- Expertise in object pose estimation, bimanual manipulation, and synthetic data.
- Familiarity with edge compute architectures and ML software engineering best practices.
- Proven ability to thrive in a fast-paced startup environment.
Top Skills
C++
Jax
Machine Learning
Python
PyTorch
Robotics
TensorFlow
RoboForce Milpitas, California, USA Office
Milpitas, California , United States, 95035
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