AI Research Scientist - Create Next-Gen LLMs & Vision

Elevate Labs

Austin (TX)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A technology research firm is seeking a researcher to lead innovative projects in Large Language Models (LLMs) and predictive analytics. The ideal candidate will have a strong educational background in computer science or mathematics, along with expertise in frameworks like PyTorch and TensorFlow. Responsibilities include conducting original research, designing experimental models, and collaborating with engineering teams to implement solutions. This role offers an exciting opportunity to drive theoretical advancements into practical applications.

Qualifications

  • Degree or Masters in a related field required.
  • Deep expertise in building custom architectures is essential.
  • Strong foundation in relevant mathematical concepts.

Responsibilities

  • Conduct original research into LLMs and predictive analytics.
  • Design and validate experimental models using rigorous testing.
  • Translate mathematical concepts into deployable frameworks.
  • Author technical whitepapers and documentation.
  • Collaborate with Data Engineers to define architectural requirements.

Skills

Expertise in PyTorch
Expertise in TensorFlow
Expertise in JAX
Strong in linear algebra
Strong in probability theory
Strong in optimization algorithms

Education

Degree or Masters in Computer Science
Degree or Masters in Mathematics
Degree or Masters in Computational Statistics

Job description

A technology research firm is seeking a researcher to lead innovative projects in Large Language Models (LLMs) and predictive analytics. The ideal candidate will have a strong educational background in computer science or mathematics, along with expertise in frameworks like PyTorch and TensorFlow. Responsibilities include conducting original research, designing experimental models, and collaborating with engineering teams to implement solutions. This role offers an exciting opportunity to drive theoretical advancements into practical applications.
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