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Lead AI Research Scientist
2 months ago
AI Square Corp, a leader in the field of artificial intelligence, is dedicated to developing cutting-edge solutions that enhance perception and sensor integration.
Our innovative technologies are designed to support advanced driver assistance systems (ADAS), autonomous vehicle navigation, and parking functionalities. By leveraging sophisticated AI and computer vision techniques, our flagship software produces accurate 3D environmental representations, facilitating safer decision-making and navigation.
OUR MISSION
To provide high-performance AI software that empowers the industry to implement ADAS features, ultimately reducing road incidents and enhancing the overall driving experience.
YOUR ROLE
As part of the Advanced Engineering team, you will explore the application of generative AI to improve the authenticity of synthetic datasets used for training sensor fusion and perception systems. Additionally, you will investigate the potential of large language models to aid in scenario creation and enhance AI interpretability. These pioneering initiatives aim to increase the efficiency, variety, and reusability of training datasets while transforming the learning and interaction capabilities of AI systems. By spearheading these advancements, you will play a crucial role in shaping the future landscape of AI development and implementation.
Key Responsibilities
- Conduct thorough literature reviews, proof-of-concept studies, and algorithm research focused on product applications.
- Develop Python-based algorithm reference code for diverse applications.
- Design and implement testing metrics and evaluation strategies to measure algorithm performance.
- Propose novel algorithms and simulation techniques to enhance product functionalities.
- Perform design evaluations to ensure the quality and effectiveness of algorithmic solutions.
- Share expertise and insights within the team through collaborative discussions.
- Contribute to the development, integration, and testing of the software codebase.
- Collaborate with colleagues to disseminate knowledge and technology across the organization.
- Participate in relevant meetings as required for the role.
- Organize tasks and coordinate efforts with other teams within AI Square Corp.
The Ideal Candidate Will Possess
- A PhD or MSc in Electrical Engineering, Computer Science, or Physics.
- Expertise in developing robotic and machine learning algorithms.
- Proficiency in simulating 3D sensors.
- Research experience in Neural Radiance Fields.
- Practical experience in training Deep Neural Networks (DNN).
- Strong programming skills in Python.
- Proven track record in algorithm development and innovation in robotics, machine learning, and sensor simulation.
- Relevant experience in applied science research projects.
- Previous experience in implementing algorithms in real-world scenarios.
- Familiarity with Lidar technology and sensor fusion techniques.
- Experience with edge computing and optimization for resource-limited environments.
- Publications in prestigious conferences and journals related to artificial intelligence and algorithms.
OUR VALUES
Customer Focus - Our customers are at the core of everything we do.
People - The well-being and talent of our team drive our growth.
Innovation - We strive for innovation in all facets of our business as we pursue market leadership.
Courage - Our culture fosters courage and empowerment.
LIFE AT AI SQUARE CORP
Flexibility : Many roles within the organization offer flexible and hybrid working arrangements.
Collaborative Global Teams: As a streamlined organization, we promote an environment where every voice is valued. You will have the chance to influence our technology strategy with your innovative ideas and contribute to our mission.
Equipped for Success : Regardless of your role, we ensure you have all the necessary tools to thrive.
Commitment to Learning : Opportunities to attend workshops, training sessions, and conferences to further develop your skills.
BENEFITS
- Employee Assistance Program.
- Complimentary onsite parking.
- Accessible public transportation options.
- Comprehensive compensation package, including short-term and long-term incentives.
- Generous paid time off.
#Envision the Future of AI