AI Research Scientist
AI Research Scientist
Posted on :
02-08-2025
Employer Active
1 Vacancy
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Monthly Salary
USD 147400 - 272100
Vacancy
1 Vacancy
Posted on :
02-08-2025
Job Description
In this role youll work on some of the most challenging problems at the intersection of deep learning computer vision LLM Foundation Models Agentic AI and geospatial data. Youll collaborate with a cross-functional team of engineers ML scientists and map specialists to build AI systems that understand the world at scale. You Will:- Lead and contribute to applied research projects that push the boundaries of AI applied to geospatial intelligence.- Design and develop advanced machine learning and deep learning models to understand large scale complex geospatial data and perform geospatial reasoning. - Experiment with intelligence systems capable of interpreting and updating maps autonomously. - Collaborate with engineering and map specialists to translate prototypes into scalable systems with highly user-centric UI implementations.- Stay on top of the latest advancements in AI/ML and contribute to our technical vision and strategy.- Advocate for responsible AI practices ensuring ethical solutions in alignment
- MS with comparable industry experience in computer science Artificial Intelligence Machine Learning or related field.
- Strong theoretical and practical background in machine learning deep learning and computer vision.
- Proven experience in developing fine-tuning and deploying LLMs VLMs or other Generative AI models.
- Proficiency in Python and deep learning frameworks like PyTorch TensorFlow or JAX.
- Demonstrated problem solving skills to translate complex real-world problems into machine learning tasks and develop practical scalable solutions.
- Strong interpersonal collaboration and communication skills.
- PhD in computer science Artificial Intelligence Machine Learning or related field.
- Track record of patents or publications in top AI/ML or GIS conferences or journals.
- Hands-on experience with processing large datasets training ML models in distributed environments and deploying large-scale models in production.
- Familiarity with emerging technologies such as Mixture of Experts (MoE) architectures AI agents and Retrieval-Augmented Generation (RAG).
- Understanding of post-training strategies like RLHF DPO or equivalent approaches.
Employment Type
Full Time
Key Skills
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