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Research Engineer

As a Research Engineer, you will conduct and enable cutting-edge research, translating it into the core product pipeline. You will develop and improve state-of-the-art data curation strategies, accelerating research and ensuring product innovation.

About the job

About the Role

As a Research Engineer, you will play a crucial role in conducting and enabling cutting-edge research and translating it into our core product pipeline. You will work closely with other members of the technical staff to develop and improve state-of-the-art data curation strategies. Your technical skills will accelerate our research and ensure that our product remains at the forefront of innovation.

About You

  • Bachelor’s degree or equivalent practical experience
  • 4+ years of experience in an industry research lab or equivalent academic experience
  • Strong background in machine learning systems, including distributed training of large models and ML performance optimization
  • Deep understanding of ML and AI models, particularly foundation models, how they are built, trained, and used
  • Strong foundations in software engineering and empirical research
  • Experience contributing to the research community through open-source projects and or publications at top-tier conferences such as CVPR, NeurIPS, ICCV or ECCV, BMVC
  • Experience working across the research-to-product pipeline in industry or academic research labs
  • Ability to work independently and collaboratively with excellent communication and presentation skills
  • PhD in Computer Science, Machine Learning, or a related technical field preferred

Compensation

At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The base salary for this position ranges from $180,000 to $300,000. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.

We offer a comprehensive benefits package to support our employees' well-being and professional growth:

  • 100% covered health benefits (medical, vision, and dental).
  • 401(k) plan with a generous 4% company match.
  • Unlimited PTO policy
  • Annual $2,000 wellness stipend.
  • Annual $1,000 learning and development stipend.
  • Daily lunches and snacks are provided in our office!
  • Relocation assistance for employees moving to the Bay Area.

Skills

Machine Learning Systems, Distributed Training, Ml Performance Optimization, Ml Models, Ai Models, Foundation Models, Software Engineering, Empirical Research

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