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2 дня назад

Manipulation Capabilities Engineer (Robotics)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Manipulation Capabilities Engineer (Robotics): Developing and deploying learned manipulation policies for humanoid and mobile-platform robots used in industrial manufacturing, logistics, warehousing, and construction with an accent on VLA fine-tuning, imitation learning, reinforcement learning, and physical robot experimentation. Focus on bridging simulation and real hardware, diagnosing model failure modes, and improving task success rates in production-oriented deployments.

Location: On-site in London daily, working directly with physical robot hardware.

Company

London-based robotics company building humanoid and mobile-platform robots for industrial use in collaboration with major partners across Europe, the US, and APAC.

What you will do

  • Post-train and fine-tune VLA models for defined industrial manipulation tasks.
  • Develop learned manipulation policies using behavioral cloning, imitation learning, and reinforcement learning.
  • Run experiments on physical robot prototypes and iterate based on real-world performance.
  • Build and refine manipulation training data through data collection and teleoperation pipelines.
  • Collaborate with Controls, Simulation, and Hardware Design teams to move policies from simulation to deployment.
  • Evaluate model performance, diagnose failure modes, and improve task success rates.

Requirements

  • Hands-on experience with robotic manipulation in industry or academia.
  • Practical experience with learned manipulation policies, including VLA fine-tuning, behavioral cloning, or imitation learning.
  • Proficiency in Python and modern machine learning frameworks such as PyTorch or JAX.
  • Experience with robotics simulation environments such as IsaacSim or MuJoCo.
  • Familiarity with reinforcement learning and vision-language models.
  • Willingness to work on-site in London daily with physical robot hardware.

Nice to have

  • Experience bridging simulation and real hardware through sim-to-real techniques.
  • PhD or research background in robotics, robot learning, or a related field.
  • Published research or shipped systems involving robotic manipulation.

Culture & Benefits

  • Competitive base salary with equity depending on level.
  • Private health insurance and pension scheme with employee, employer, and tax-relief contributions.
  • 23 days of annual leave, plus the Christmas period and UK bank holidays.
  • 15 paid sick days and three weeks of maternity and paternity leave.
  • Relocation support of up to £8,000 for international moves and up to £2,500 for domestic moves.
  • Skilled Worker Visa sponsorship as standard, with Global Talent Visa sponsorship available in exceptional cases.

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