Senior Robot Learning Engineer

Senior Robot Learning Engineer page is loaded## Senior Robot Learning Engineer locations:
US, MA, Boston time type:
Full time posted on:
Posted Todayjob requisition :
R260280

Come join Analog Devices (ADI) – a place where Innovation meets Impact. For more than 55 years, Analog Devices has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare.

ADI fosters a culture that focuses on employees through beneficial programs, aligned goals, continuous learning opportunities, and practices that create a more sustainable future.
** About Analog Devices
** Analog Devices, Inc. (NASDAQ:  ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible.

Learn more at  and on  and .# Senior Robot Learning Engineer The Dexterous AI Group (DAG) is looking for Robot Learning Engineers to develop core AI technologies for Analog Devices’ future AI robotics with generality and dexterity, beyond the reach of traditional algorithms and system innovations, with a strong emphasis on bridging simulation and real-world robotic performance.

Responsibilities include:

* Contribute the development of advanced learning algorithms for general and dexterous robot using the state-of-the-art techniques.
* Create sandbox simulations, deployable implementations, and evaluation frameworks for algorithm performance and robustness.
* Contribute to data requirements, data collection setup and procedure, and data curation.
* Stay abreast of the latest developments in machine learning and robotics from reputable groups.

Qualifications:

* Master’s degree or equivalent experience, Ph.D. is preferred.
* 3+ years of research experience in robot learning.
* Strong background in machine learning and robotics, and experience in:  + Reinforcement Learning and Imitation Learning for manipulation.  + Planning and control algorithms (e.g., A , MPC).  + Optimization techniques (e.g., linear/nonlinear optimization).  + Training deep learning models with PyTorch and familiarity with large multi-modal datasets and models.
* A track record of relevant publications in top international conferences (RSS, NeuRIPS, ICML, ICLR, CoRL, ICRA, IROS, …)
* Preferred: familiarity with  + foundation models and large language models.  + robotics toolkits (e.g., ROS/ROS2, Mujoco, Isaac)  + robotic systems and mechanical design
* For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
** Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
** EEO is the Law: .
* Job Req Type:
Graduate Job Required Travel:
Yes, 10% of the time

The expected wage range for a new hire into this position is $144,000 to $198,000.
* Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.
* This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.
* This position includes medical, vision and dental coverage, 401k, paid vacation,
** holidays, and sick time**, and other benefits.
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