Machine Learning Research Engineer
Experience, qualification, and soft skills, have you got everything required to succeed in this opportunity Find out below.
Location: London
Salary: Competitive, dependent on experience
Employment: Permanent
What if the reinforcement learning models you developed actually controlled a humanoid robot?
We're working with an innovative robotics company in London that's developing advanced humanoid robotic systems, and we're looking for a Machine Learning Research Engineer to help push the boundaries of what these machines can do.
This is an opportunity to work at the intersection of reinforcement learning, robotics, simulation and real-world control, helping develop intelligent behaviours that can be transferred from simulation onto physical robotic hardware.
If you've spent time developing learning-based control systems, training robotic policies or researching how robots interact with the physical world, this could be a particularly interesting next step.
The opportunity
You'll be involved in researching, developing and implementing machine learning approaches that enable increasingly capable robotic movement and interaction.
Working alongside robotics, controls and software engineers, you'll help bridge the gap between algorithms developed in simulation and behaviours deployed on real robotic systems.
What you'll be doing
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Developing and training reinforcement learning policies for robotic control and movement.
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Building and improving simulation environments for robotic learning.
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Working on simulation-to-real transfer, including domain randomisation and policy robustness.
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Developing approaches to motion control, manipulation and potentially whole-body robotic behaviours.
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Evaluating and improving learning algorithms through experimentation and testing.
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Deploying and validating trained policies on physical robotic platforms.
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Collaborating with multidisciplinary teams across machine learning, robotics and control systems.
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Contributing to research that advances the capabilities of humanoid robots.
What we're looking for
We're particularly interested in candidates with experience in some of the following:
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Reinforcement learning, particularly for robotics or continuous control.
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Python and machine learning frameworks such as PyTorch.
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Robotics simulation environments such as NVIDIA Isaac Sim, Isaac Lab, MuJoCo or similar.
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Policy optimisation methods such as PPO, SAC or related algorithms.
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Simulation-to-real transfer, domain randomisation or system identification.
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Robot motion planning, kinematics, dynamics or control.
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Experience deploying algorithms onto physical robotic hardware.
A background in humanoid robotics, legged robotics, dexterous manipulation or embodied AI would be particularly relevant. xsabvtc
Who should apply?
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Machine Learning Research Engineer - Humanoid Robotics employer: Latent Edge Ltd
Latent Edge Ltd is an attractive employer due to its focus on innovative engineering projects that challenge employees technically. The company fosters a supportive work culture that encourages collaboration and professional development, making it an ideal place for engineers looking to make a significant impact in their field.
