Job Specifications
Our client is building rugged, multi-purpose humanoid robots designed to perform real work in real-world environments.
The founding team brings decades of experience across humanoid robotics, bionics, and large-scale hardware product development, with systems that have operated in extreme environments across land, sea, space, and complex public settings. Their mission is to ship beautiful, reliable robotic products at scale while building a highly customer-focused engineering team.
We are looking for a Deep Learning Manipulation Engineer to help train humanoid robots to perform dexterous manipulation tasks in the real world. This is an opportunity for someone who thrives on hard problems, enjoys ambiguity, and wants to see their work directly translated into deployed robotic systems. Candidates with experience shipping real products are especially compelling, though strong aptitude and drive are equally valued.
As one of the early hires in this team, you will help shape the overall deep learning and manipulation strategy, infrastructure, and technical direction. You’ll work on cutting-edge problems at the intersection of learning, control, sensing, and hardware.
What You’ll Do
Design and implement advanced deep learning models and training pipelines for dexterous manipulation on humanoid robots with high degrees of freedom and multi-fingered hands
Train models using curriculum learning approaches, progressing from simple interactions to precise grasping, long-horizon tasks, tool use, and in-hand manipulation
Integrate tactile sensing and proprioception into end-to-end, closed-loop learning systems
Partner closely with teleoperation and data teams to design scalable data collection, labeling, and versioning strategies
Leverage state-of-the-art manipulation models while contributing new architectures for increasingly complex tasks
Deploy learned policies onto robotic hardware with a focus on real-time performance, safety, and robust integration with control systems and sensors
Collaborate on the design and optimization of the end-to-end manipulation ML pipeline
Stay current with the latest research and industry developments in robotic manipulation and learning
Build evaluation frameworks to rigorously test learned policies in simulation and real-world trials, measuring robustness and generalization
Support the growth and development of the machine learning and autonomy teams
Requirements
Grit and curiosity to tackle some of the hardest problems in robot manipulation
Comfort working in fast-paced, ambiguous startup environments
Master’s or PhD in Robotics, Computer Science, or a related field
3+ years of experience applying deep learning to robotic manipulation
Strong grounding in modern approaches such as behavior cloning, vision-language-action models, diffusion policies, and foundation models
Experience working with large-scale datasets and cloud-based training infrastructure
Clear understanding of the challenges involved in deploying neural networks on real robotic systems
Strong software engineering skills and a first-principles mindset
Nice to Have
Experience with adjacent ML areas in robotics such as perception, point clouds, segmentation, and object detection
Publications at top machine learning or robotics conferences
Hands-on experience deploying robots, collecting large datasets, and training models that run reliably in production environments
Why Join
Opportunity to shape the future of humanoid robotics and real-world autonomy
Work alongside deeply experienced, mission-driven engineers and researchers
Access to advanced labs, prototyping tools, and the freedom to experiment
Competitive compensation, strong benefits, flexible working arrangements, and meaningful equity
About the Company
WE are Energize Group. An award-winning talent partner for the SAP and Cloud marketplace. Established in 2006, we offer permanent and contract staffing solutions for our customers worldwide.
WE think globally, and act locally
With four international offices across the UK, Europe and the United States of America, our teams of expert recruitment consultants are technology vendor-specialists with deep expertise in SAP, Amazon Web Services, Microsoft Azure, and Google Cloud ecosystems.
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