Descrizione dell'offerta
The company
Our client is a leading company in the field of cognitive humanoid robotics based in Monza Brianza and founded in 2020, focused on developing cognitive humanoid robotics for progress and well-being.
The mission is to make the benefits of the future accessible by creating innovative solutions for industry and healthcare. The aim is about to support people in repetitive, dangerous, and strenuous jobs with technological solutions that integrate with daily life and respect the environment.
We are looking for a talented
Robotic Learning Engineer
with at least 2 years of experience to join the Carate Brianza headquarters.
Responsibilities Design, implement and iterate
RL / IL training pipelines
for humanoid tasks in simulation and in the real world. Design and implement diverse task suites for manipulation, navigation, and whole-body coordination in simulation. Manage
training experiments and evaluation loops : Hyperparameter tuning, Benchmarking, Logging and Failure analysis. Collaborate closely with
multidisciplinary teams
including: Motion and control engineers, Mechanical design team, Simulation engineers. Support sim-to-real transfer by adapting policies to real robot constraints and validating performance during deployment.
Requirements > 2 years experience in ML/ RL / robotics. Ms or Phd in Robotics, Automation, Computer Science or related field. Strong Python + PyTorch. You can profile, debug numerics, and write maintainable code. Familiarity with RL algorithms (PPO, SAC, etc.) and robotics (states, control, kinematics). Experience solving real problems using reinforcement learning policies in any domain. Strong ownership mindset with ability to document experiments and communicate trade-offs clearly.
Strong Plus ● Experience with: Isaac Lab / RL Games / Stable Baselines3 ● Exposure to: Imitation Learning / Behavior Cloning Robotics datasets (state + vision) ● Understanding of: Sim-to-real challenges
Budget between 30.000€-50.000€, plus welfare 250€ Hybrid approach (1 day working from home per week) CCNL Metalmeccanico Car sharing for employees who live in Milan payed by the company (Loreto and Turro pick-up points).
This position is open to applicants of all genders, in accordance with Italian Law 903/77. Ministry of Labour Authorization No. 1120 - SG dated 26/11/2004. Please review our privacy policy regarding the processing of personal data at www.Injob.Com. Candidates are requested to provide only the data necessary for the selection process, avoiding the inclusion of "special categories of personal data" (such as data revealing racial or ethnic origin, religious or philosophical beliefs, political opinions, trade union membership, genetic data, or data concerning health, sex life, or sexual orientation), unless specifically required by the job posting and/or deemed essential for a proper evaluation of the application. The processing of any such special categories of data will be subject to the applicant's explicit consent.
Robotic Learning Engineer
with at least 2 years of experience to join the Carate Brianza headquarters.
Responsibilities Design, implement and iterate
RL / IL training pipelines
for humanoid tasks in simulation and in the real world. Design and implement diverse task suites for manipulation, navigation, and whole-body coordination in simulation. Manage
training experiments and evaluation loops : Hyperparameter tuning, Benchmarking, Logging and Failure analysis. Collaborate closely with
multidisciplinary teams
including: Motion and control engineers, Mechanical design team, Simulation engineers. Support sim-to-real transfer by adapting policies to real robot constraints and validating performance during deployment.
Requirements > 2 years experience in ML/ RL / robotics. Ms or Phd in Robotics, Automation, Computer Science or related field. Strong Python + PyTorch. You can profile, debug numerics, and write maintainable code. Familiarity with RL algorithms (PPO, SAC, etc.) and robotics (states, control, kinematics). Experience solving real problems using reinforcement learning policies in any domain. Strong ownership mindset with ability to document experiments and communicate trade-offs clearly.
Strong Plus ● Experience with: Isaac Lab / RL Games / Stable Baselines3 ● Exposure to: Imitation Learning / Behavior Cloning Robotics datasets (state + vision) ● Understanding of: Sim-to-real challenges
Budget between 30.000€-50.000€, plus welfare 250€ Hybrid approach (1 day working from home per week) CCNL Metalmeccanico Car sharing for employees who live in Milan payed by the company (Loreto and Turro pick-up points).
This position is open to applicants of all genders, in accordance with Italian Law 903/77. Ministry of Labour Authorization No. 1120 - SG dated 26/11/2004. Please review our privacy policy regarding the processing of personal data at www.Injob.Com. Candidates are requested to provide only the data necessary for the selection process, avoiding the inclusion of "special categories of personal data" (such as data revealing racial or ethnic origin, religious or philosophical beliefs, political opinions, trade union membership, genetic data, or data concerning health, sex life, or sexual orientation), unless specifically required by the job posting and/or deemed essential for a proper evaluation of the application. The processing of any such special categories of data will be subject to the applicant's explicit consent.
Candidatura e Ritorno (in fondo)
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