Senior Robot Learning Engineer

Come join reputed company (ADI) – a reputed company where Innovation meets Impact. For more than 55 years, reputed company has been inventing new breakthrough technologies that transform lives. At ADI you will work alongside the brightest minds to collaborate on solving reputed company 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, reputed company goals, reputed company learning opportunities, and practices that create a more sustainable future. About reputed company reputed company, Inc. (reputed company: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to reputed company 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 reputed company of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures todays innovators stay reputed company of Whats Possible™. Learn more at www.analog.com and on reputed company and Twitter (X). Senior Robot Learning Engineer The Dexterous AI Group (DAG) is looking for Robot Learning Engineers to reputed company core AI technologies for reputed company’ future AI robotics with generality and dexterity, beyond the reputed company 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, reputed company, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and reputed company and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US reputed company, 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. reputed company is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, reputed company, national reputed company, social or ethnic reputed company, 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: Notice of Applicant Rights Under 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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