Senior Manager, Robot Intelligence Data Efficiency
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Job description
Samsung Research America is looking for a Senior Manager who has an established track record in research and project management in robotics to lead a new Data Efficiency group under the Robot Intelligence Lab. Our ideal candidate is excited about working together with researchers, developers, and roboticists to explore novel AI-led techniques towards generalizing robots to perform tasks in the real world. Samsungâs unique advantage in the consumer electronics market and growing focus on AI will provide you with exciting technical challenges and a rewarding career experience. By leveraging Samsungâs vast product ecosystem to deliver novel user experiences, your work will define Samsungâs future in robotics and significantly impact real-world users., * Direct and manage state-of-the-art R&D to push boundaries of data efficient learning methods for robotics, including simulation training and evaluation, learning from egocentric video, generative models for simulation testing, real2sim2real, and teleoperation data augmentation
- Lead a team to engineer efficient pipelines for data processing, learning, and model deployment, and support its use by groups within the Robot Intelligence Lab and affiliated Samsung Product and Advanced Research labs
- Lead a team to prepare proof-of-concepts, demo/prototypes, design, and execute pilot studies using available robot platforms
- Manage the operations of the team, such as recruiting, execution of technical milestones, patenting, contracting, purchasing, and facilities
- Generate patents and scientific research papers for top-tier publications, This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, and frequently operate standard office equipment, such as telephones and computers.
Requirements
- PhD. degree in a technology or engineering discipline or equivalent combination of education, training
- 7+ years of work experience after PhD. in the robotics domain
- Deep knowledge and experience in ML training, including data and model management techniques, data augmentation approaches, multi-GPU training, model tuning, and model deployment
- Knowledge of production robot learning pipelines and options for data mixtures, including simulation, teleoperation, egocentric video, and third person video
- Strong understanding of robotics fundamentals, including locomotion, manipulation, sensor inputs, SLAM, ROS, simulation environments (e.g. Nvidia Isaac-SIM), and policy architectures
- Passion for leading teams and providing both formal and informal mentorship
- Strong communication and interpersonal skills, and the ability to engage customers at a business level in addition to a technical level
- Sound knowledge of early-stage technology research programs: understanding user needs, gathering requirements, defining project scope and deliverables, building schedules and executing programs from inception to prototyping
- Stay current with AI/ML and robot learning trends and research; be a thought leader in the Robot Learning area
Special Attributes:
- Thrive in a fast-paced, dynamic environment
- Contribute in a team-oriented environment, while driving your own agenda
- Prioritize multiple tasks in order to consistently meet deadlines
- Creatively solve problems in an analytical environment
- Resilience to overcome hurdles and address failures with alternative paths
- Adapt quickly to new environments, people, technologies and processes
- High caliber presentation skills with the ability to adapt message to the audience and situation
- Generate ideas while understanding and incorporating different points of view
- Must be willing to travel domestically and internationally (10%)
About the company
At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.
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