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Advanced AI Model Research Specialist
2 months ago
At Theaiinstitute, we are dedicated to addressing the most critical and foundational challenges in the realms of Artificial Intelligence and Robotics. Our goal is to pave the way for future generations of intelligent machines that enhance the quality of life for everyone.
Role OverviewThe Advanced AI Model Research Specialist will possess extensive hands-on experience in research or industry, concentrating on key domains such as Cognitive AI, Foundation Models, Large Language Models, and Distributed Training.
If you are enthusiastic about pioneering technology for robotic systems and leveraging it to elevate their functionality and utility, this position is an excellent match for your skills.
Key Responsibilities- Develop innovative deep learning methodologies to enhance and progress large language models (LLMs) and extensive multi-modal models.
- Design and execute machine learning strategies to tailor foundation models for specific downstream applications, including robotic manipulation and complex task planning.
- Assemble and refine datasets for large-scale machine learning, focusing on learning from human preferences and specialized application domains.
- Collaborate closely with our research teams to create cutting-edge robotics demonstrations based on your findings.
- MS or PhD in a field relevant to foundation models.
- 7+ years of experience in research and development.
- Proficient understanding of large language models, foundation models, model parallelism, or distributed training methodologies.
- Strong programming capabilities in rapid prototyping environments such as Python or C++.
- Expertise in deep learning frameworks, particularly PyTorch.
- At least one publication in prestigious conferences and journals in Machine Learning, Robotics, or related disciplines.
- Experience with Docker, Kubernetes, cloud computing, or similar technologies.
- Familiarity with data processing, logging, and visualization tools.
- Knowledge of MLOps practices including model versioning, lineage tracking, monitoring, and deployment.
- Experience in creating orchestration workflows using tools like Airflow, Kubeflow, or AWS Step Functions.
- Proficiency with DevOps tools such as CI/CD Pipelines and Infrastructure as Code.
- Experience implementing IoT solutions, including edge computing.
- Familiarity with big data processing frameworks (e.g., Hadoop, Spark, Kafka).
- Demonstrated history of publications in top-tier conferences and journals in relevant fields.
- Experience with parallel programming techniques (e.g., CUDA).
We value diversity and provide equal employment opportunities to all employees and applicants. We prohibit discrimination and harassment of any kind, ensuring a workplace that respects all individuals regardless of their background.
