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AI Deep Learning Researcher

Job in Las Vegas, Clark County, Nevada, 89105, USA
Listing for: FutureHire
Full Time position
Listed on 2026-08-26
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Business & Operations
Job Description & How to Apply Below

We are seeking a highly skilled and motivated AI Deep Learning Researcher to join our team in Las Vegas. In this role you will be responsible for conducting research and developing advanced algorithms for deep learning applications. Your work will directly contribute to the development of cutting-edge technology and products in the field of artificial intelligence.

Key Responsibilities
  • Conducting research on advanced deep learning techniques and algorithms
  • Developing and implementing new deep learning models for various applications
  • Optimizing existing deep learning models for improved accuracy, speed and performance
  • Collaborating with cross-functional teams to integrate deep learning solutions into products
  • Staying up-to-date with the latest developments in AI and deep learning
Requirements
  • Masters or PhD degree in Computer Science, Electrical Engineering or a related field
  • Strong background in machine learning specifically in deep learning techniques
  • Experience with popular deep learning frameworks such as Tensor Flow, PyTorch or Keras
  • Proficiency in programming languages such as Python, Java or C++
  • Knowledge of data mining and preprocessing techniques
  • Excellent problem-solving skills and ability to think creatively
  • Ability to work independently as well as collaboratively in a team environment

Salary $1000 per month negotiable based on qualifications.

Location Las Vegas candidates from Nepal preferred.

Employment Type

Full-time.

Visa Sponsorship Available for candidates who already have their own visa.

Accommodation Not provided by the company.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status.

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