Sr. ML Research Scientist
Serve Robotics$175,000 - $205,000/year
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Staff Research Engineer, Embodied Intelligence & Robotics at Samsung Research America
Mountain View, California, United States
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics, Artificial IntelligenceIndustries
Requirements
- PhD or Master’s degree in EECS/Robotics or equivalent combination of education, training, and experience
- 3+ years’ industry experience in state-of-the-art robotics R&D, such as foundation models, vision-language-action (VLA) models, open-world 3D perception, trajectory prediction, model predictive control, and multimodal (visual, tactile, audio, semantic) information fusion
- Demonstrated experience in sensing, kinematics, dynamics, and control systems integrated on real robotic systems
- Solid understanding of computer vision techniques (e.g., object detection, segmentation, tracking) and multi-view image processing
- Knowledgeable of tools and processes to monitor ML model performance and data quality, including model tuning experience
- Familiarity with PyTorch, TensorFlow, C++, ROS, and CUDA
- Demonstrated experience in software engineering best practices to track, communicate, and document project progress
- Strong understanding of robotics fundamentals, including locomotion, manipulation, sensor inputs, pose tracking, 3D mapping, SLAM, ROS, and policy architectures particularly for semi-structured and unstructured environments
- Excellent problem-solving skills and the ability to work independently and as part of a team
- Excellent verbal communication and writing skills to effectively represent the derived results and technical concepts developed in the course of the work
Responsibilities
- Design and evaluate the suitability of robotic hardware, sensors, and software for applications in semi-structured and unstructured environments targeting high impact business areas
- Integrate sensors, actuators and other component into proof-of-concept/prototype robotic systems and analyze and optimize robotic system performance and accuracy
- Design, develop, integrate and test algorithms for robot perception, control, learning, navigation, and manipulation
- Develop and deploy data collection and model management mechanisms for in-the wild data aggregation
- Work within cross-functional, cross-divisional teams and assist in the design, analysis and performance evaluation from concept to completion
- Document and present results evaluating algorithms and models on targeted compute platforms
- Conduct pilot studies and formal experiments to benchmark performance against state-of-the-art approaches using clear and well-reasoned metrics
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What education is required for the Staff Research Engineer position?
A PhD or Master’s degree in EECS/Robotics or equivalent combination of education, training, and experience is required.
What industry experience is needed for this role?
Candidates need 3+ years’ industry experience in state-of-the-art robotics R&D, including areas like foundation models, vision-language-action models, open-world 3D perception, trajectory prediction, model predictive control, and multimodal information fusion.
What key technical skills are required?
Required skills include demonstrated experience in sensing, kinematics, dynamics, and control systems on real robotic systems, solid understanding of computer vision techniques like object detection, segmentation, and tracking, and knowledge of tools for monitoring ML model performance and data quality.
Is this position remote or office-based?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
Samsung Research America
Develops advanced technology in multiple domains
About Samsung Research America
Samsung Research America specializes in advanced technologies such as next-generation communications, artificial intelligence, digital media, mobile platforms, and digital health. Their innovations include FadeNet, a convolutional neural-network based technology, and the ECG Monitor App, which enables ECG recording using Galaxy Watch for atrial fibrillation screening.
665 Clyde Ave, Mountain View, CA 94043, USAHeadquarters
1988Year Founded
VENTURE_UNKNOWNCompany Stage
HardwareIndustries
501-1,000Employees
Benefits
Onsite Fitness Facility
Subsidized Meals
Coffee Barista Bar
Samsung University
Product Discounts
Dog Friendly Campus
Wellness Programs
Activity Clubs
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