Senior AI Research Engineer

4 days ago


Bengaluru, Karnataka, India Figr Full time
About Figr

We're a fast-growing startup revolutionizing the product design process with cutting-edge AI technologies. Our mission is to make creating meaningful products accessible to everyone, regardless of technical skills or barriers.

Role Overview

As our Senior AI Research Engineer, you'll play a pivotal role in shaping the future of our core AI technologies. You'll drive the development and deployment of advanced language models and retrieval systems, focusing on applied research that translates theoretical ML advances into production-ready solutions.

Key Responsibilities
  • Lead model finetuning initiatives, including architecting training pipelines and deployment strategies
  • Design and implement sophisticated retrieval systems for production use
  • Guide technical decisions around model selection and implementation for various use cases
  • Develop data quality frameworks and scaling strategies
  • Drive independent research initiatives from conception to deployment
Requirements
  • Strong Research Background (2+ years): Proven experience in applied ML research, particularly in NLP/LLMs, track record of deploying models to production at scale, and deep understanding of model finetuning techniques and best practices
  • Technical Expertise: Advanced knowledge of NLP fundamentals and architectures, experience with large-scale data preparation and quality assessment, and proficiency in implementing and optimizing retrieval systems
  • Execution Excellence: Demonstrated ability to work independently on complex technical challenges, strong system design and whiteboarding skills, and experience in fast-paced startup environments (2-4 years minimum)
  • Problem-Solving: Quick learning ability and adaptability to new domains, strong analytical thinking and research methodology, and ability to balance theoretical depth with practical implementation
Compensation & Benefits

Competitive compensation with equity, productivity allowance, research budget for conferences and publications, access to high-performance computing resources, health and dental coverage for employees and dependents, and opportunity to shape core AI technology decisions.

Estimated salary: $150,000 - $200,000 per year.



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