AI Engineer / AI Researcher

0 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

About Flam :


We are a fast-growing startup on a mission to revolutionize the MR (Mixed Reality) space through innovative AI. Our projects range from immersive mixed-reality applications to advanced generative AI solutions (e.g., GANs, diffusion models, transformers, large language models, and more). We value creativity, problem-solving, and out-of-the-box thinking above all else—your formal qualifications matter less to us than your ability to push the boundaries of AI technology.


Why MR?


Mixed Reality (MR): Merges the best of both Augmented Reality and Virtual Reality, integrating physical and virtual environments for real-time interaction. We leverage these technologies to create next-generation user experiences that transform how people interact with digital content. Our AI-driven approach ensures these immersive environments are intelligent, adaptive, and personalized.


Role Overview :


We are rapidly expanding our AI team and are hiring across multiple experience levels—from fresh graduates and self-taught enthusiasts to seasoned AI experts. As an AI Engineer/Researcher/Scientist, you will work on cutting-edge AI projects that blend creative design principles with emerging technologies like GANs, diffusion models, transformers, large language models, and MR applications.


You’ll be given the freedom to experiment, innovate, and propose unconventional solutions. We’re looking for fast learners who can dig into research papers and GitHub repositories to test and refine multiple solutions rapidly—ultimately selecting and implementing the best one. If you thrive on minimal instruction, adapt quickly, and love solving complex problems, this role is for you.


Key Responsibilities :


  • Investigate, prototype, and implement state-of-the-art AI methods across a wide range of applications—generative models (GANs, diffusion models), transformers, large language models, reinforcement learning, and more.
  • Explore and adapt novel approaches to AI-driven interactions and experiences in mixed reality environments.
  • Build, train, and optimize deep learning models for various tasks, including computer vision, natural language processing, 3D content generation, and more.
  • Quickly learn and implement cutting-edge techniques from research papers, GitHub repositories, and community-driven projects.
  • Work closely with designers, product managers, and AR/VR/MR developers to integrate AI solutions seamlessly into mixed-reality applications.
  • Participate in brainstorming sessions that bridge AI, design principles, and user experience.
  • Stay updated on the latest AI research and emerging technologies, especially in generative AI, transformers, and spatial computing.
  • Propose and lead experimental projects that push the boundaries of what is possible with AI in extended reality experiences.
  • Identify project challenges independently and develop creative, robust solutions with minimal supervision.
  • Continually evaluate technical trade-offs and refine solutions to meet product and design requirements.


Qualifications :


  • Passion for AI and a drive to explore cutting-edge research.
  • Ability to rapidly learn new tools, frameworks, and concepts, often self-taught or independently researched.
  • Creative and unconventional approaches to complex challenges.
  • Proficiency in at least one programming language commonly used in AI (e.g., Python) and familiarity with AI frameworks (e.g., TensorFlow, PyTorch).
  • Exposure to a variety of AI techniques, including but not limited to generative models, large language models, computer vision, reinforcement learning, or other specialized domains.
  • Understanding of Design Principles: How they can be applied to AI solutions, ensuring that user experience remains front and center.
  • Experience with AR/VR/MR (Unity, Unreal Engine, OpenCV, etc.) is a bonus, but not mandatory.
  • Self-motivated with excellent communication skills and a collaborative mindset.

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