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!
