AI Research Engineer

Creatify

• $120K — $145K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's or Ph.D. in Computer Science, AI, ML, or related field
  • Foundation in algorithms, linear algebra, statistics, and machine learning
  • Proficiency in Python and ML frameworks like TensorFlow or PyTorch
  • Curiosity and eagerness to tackle challenging problems
  • Excellent communication and team collaboration skills
  • Demonstrates a positive and pleasant demeanor

Responsibilities

  • Participate in all phases of AI projects from definition to deployment
  • Develop and implement LLM and multimodal models using innovative algorithms
  • Collaborate with cross-functional teams for product integration of AI solutions
  • Contribute to research for publication in top-tier conferences

Benefits

  • Full-time, in-person position located in Mountain View, CA
  • Opportunity to work closely with a Chief AI Scientist and other researchers
  • Potential to contribute to high-impact AI research
  • Work on industry-leading AI video ad models
  • Collaborative team environment focusing on innovation
Full Job Description
About this role

We're hiring an AI Research Engineer. We're open to professionals with a few years of experience and ambitious new graduates. In this role, you'll work closely with our Chief AI Scientist and other researchers to develop and shape Creatify's industry-leading AI video ad models.

This is a full-time, in-person position based in Mountain View, CA.

Responsibilities
  • Participate in the entire lifecycle of AI projects, from problem definition to deployment.
  • Develop and implement LLM and multimodal models, experimenting with novel algorithms and techniques.
  • Collaborate with cross-functional teams to integrate AI solutions into our products and services.
  • Contribute to research that can be published in top-tier conferences.
Qualifications
  • Having a Master or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Strong foundation in algorithms, linear algebra, statistics, and machine learning principles.
  • Strong coding skills in Python and ML frameworks (e.g., TensorFlow, PyTorch).
  • Curiosity and a strong desire to learn and tackle challenging problems.
  • Excellent communication skills, with the ability to work well in a team environment.
  • Last but not least, you are genuinely a nice person.

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