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Mid LevelFull-timePythonMachine LearningTensorFlowPyTorchAIML
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a highly innovative AI Researcher to conduct fundamental and applied research, pioneering the next generation of Generative AI solutions. This role is focused on the theoretical and practical advancement of Large Language Models (LLMs), agent-based architectures, and novel algorithms to create transformative solutions for the construction and design industry.
Key Responsibilities
- →Conduct research, design, and implement novel Generative AI systems using LLMs, vision-language models, and advanced agentic frameworks.
- →Develop and optimize cutting-edge algorithms and methodologies for LLM fine-tuning, retrieval-augmented generation (RAG) optimization, and advanced context engineering.
- →Perform rigorous experimentation and evaluation of novel GenAI-powered solutions to push the boundaries of model efficiency, performance, and robustness.
- →Collaborate closely with engineering teams to guide the technical translation of research prototypes into production-grade, high-impact AI products.
- →Contribute to the long-term AI research direction for the company, staying at the forefront of emerging techniques and academic breakthroughs.
- →Develop and implement computer vision algorithms that significantly enhance the performance and functionality of our product.
Requirements
- ✓Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
- ✓Minimum of 5+ years of combined experience in AI/ML research and development, with a deep focus on Generative AI, LLMs, and Deep Learning.
- ✓A strong, demonstrable track record of research impact, including a history of publications in top-tier conferences or significant open-source contributions/patents in AI/ML.
- ✓Expertise in the theory and practical application of LLM fine-tuning, advanced RAG architectures, and complex agentic systems.
- ✓Exceptional proficiency in Python and deep expertise with major ML/Deep Learning frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
- ✓Strong foundation in software engineering and algorithm development, with experience working with large datasets.
- ✓Exceptional problem-solving, creative thinking, and analytical skills.
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