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AI Research Scientist Job
Fractal
.
Mumbai, India
Apply by : 26 November 2024
:

AI Research Scientist Job

Fractal

₹ Not Disclosed
Exp : 2 Year
Age : 22 – 40
Apply by : 26 November 2024
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Job Overview
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Job Opportunity: AI Research Scientist at Fractal

About the Role

Fractal is looking for a passionate and innovative AI Research Scientist to join our team. This role involves cutting-edge research, designing next-generation AI models, and collaborating with teams to scale AI solutions for impactful deployment. If you have a strong background in deep learning, creativity in solving complex problems, and a desire to contribute to the advancement of AI, we encourage you to apply.


Responsibilities

As an AI Research Scientist, your key responsibilities will include:

  • Research & Innovation: Stay updated with advancements in machine vision, NLP, deep learning, reinforcement learning (RL), agentic systems, and related fields.
  • Algorithm Development: Design and implement novel AI algorithms, models, and techniques tailored to specific problem domains.
  • Engineering Pipelines: Build scalable AI engineering pipelines for deploying models at internet scale.
  • Documentation & Communication: Document research methodologies, findings, and experimental results in technical reports, blogs, and papers.
  • Knowledge Sharing: Publish research findings in conferences, workshops, and other scientific forums.
  • Collaboration: Work closely with engineering teams for model deployment and business teams for customized training and implementation.

Requirements

To succeed in this role, you should have:

  • Deep Learning Expertise: Extensive knowledge of advanced deep learning or generative architectures such as diffusion models, attention mechanisms, LLMs, SAM, RLHF, and other cutting-edge techniques.
  • Proven Research Impact: A strong track record of innovation, demonstrated through first-author publications, deployed projects, or impactful technical blogs.
  • Technical Proficiency: Experience with modern deep learning stacks, including Python, PyTorch, and GPU-enabled compute environments, with the ability to write complex custom architectures in PyTorch.
  • Codebase Management: Ability to iterate on open-source codebases while maintaining backward compatibility, usability, and readability.
  • Key Attributes:
    • Creativity and the ability to execute in a fast-paced environment.
    • Strong attention to detail and eagerness to acquire new skills.
    • Effective team collaboration and a proactive approach to ownership.
  • Collaborative Mindset: A strong belief in a positive-sum game, valuing cooperation and collaboration over zero-sum competition.

This is a unique opportunity to contribute to the advancement of AI, work on groundbreaking projects, and collaborate with a team of like-minded professionals. If you are passionate about AI and eager to make a significant impact, apply now!

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Remember the last date to apply is : 26 November 2024
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